GPT and other Text Transformers: Black Swans and Stochastic ParrotsKonstantin Savenkov
Over the last year, we see increasingly more performant Text Transformers models, such as GPT-3 from OpenAI, Turing from Microsoft, and T5 from Google. They are capable of transforming the text in very creative and unexpected ways, like generating a summary of an article, explaining complex concepts in a simple language, or synthesizing realistic datasets for AI training. Unlike more traditional Machine Learning models, they do not require vast training datasets and can start based on just a few examples.
In this talk, we will make a short overview of such models, share the first experimental results and ask questions about the future of the content creation process. Are those models ready for prime time? What will happen to the professional content creators? Will they be able to compete against such powerful models? Will we see GPT post-editing similar to MT post-editing? We will share some answers we have based on the extensive experimenting and the first production projects that employ this new technology.
In this talk we will learn how to use GitHub Actions to define the steps of your CI/CD process as containers. Additionally, we will use a tool called "act" to validate the CI/CD workflow by running the containers locally for fast feedback.
GPT and other Text Transformers: Black Swans and Stochastic ParrotsKonstantin Savenkov
Over the last year, we see increasingly more performant Text Transformers models, such as GPT-3 from OpenAI, Turing from Microsoft, and T5 from Google. They are capable of transforming the text in very creative and unexpected ways, like generating a summary of an article, explaining complex concepts in a simple language, or synthesizing realistic datasets for AI training. Unlike more traditional Machine Learning models, they do not require vast training datasets and can start based on just a few examples.
In this talk, we will make a short overview of such models, share the first experimental results and ask questions about the future of the content creation process. Are those models ready for prime time? What will happen to the professional content creators? Will they be able to compete against such powerful models? Will we see GPT post-editing similar to MT post-editing? We will share some answers we have based on the extensive experimenting and the first production projects that employ this new technology.
In this talk we will learn how to use GitHub Actions to define the steps of your CI/CD process as containers. Additionally, we will use a tool called "act" to validate the CI/CD workflow by running the containers locally for fast feedback.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Over the last year there has been a lot of buzz about Clean Architecture in the Android community, but what is Clean Architecture? How does it work? And should I be using it? Recently at Badoo we decided to rewrite our messenger component.
Over the years this core piece of functionality in our app has become large and unwieldy. We wanted to take a fresh approach to try and prevent this from happening again. We choose to use Clean Architecture to achieve our goal. This talk intends to share our journey from theory to implementation in an application with over 100 million downloads. By the end, you should not only understand what Clean Architecture is, but how to implement it, and whether you should.
Certificate in Generative AI issued by Databricks. Topics covered are:
Introducing Generative AI
Finding Success With Generative AI
Assessing Potential Risks and Challenges
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
talks about the idea shared by Seth Godin on marketing ideas for the digital age.
This presentation was created by G. Krupakhar, IIITDM Kancheepuram, during a marketing internship program under the guidance of Prof. Sameer Mathur, IIM Lucknow.
GitHub Actions is a great addition to the GitHub toolchain, but what can you use them for beyond building the code in your GitHub repository?
In this session Morten Christensen (https://twitter.com/sitereactor), dive into what a GitHub Action actually is and how it can be used through examples and demos.
We will have a look at workflows related to Continuous Integration / Continuous Deployment and open source projects - and finally we will look at how you can extend your workflows with your own Actions.
By the end of this session you should have a good idea of how you can utilize GitHub Actions and Workflows to automate anything and everything related to your GitHub repository. So expect to see a lot of YAML :)
At the end of this session, you will be able to:
* Install git
* Create a local git repository
* Add a file to the repo
* Add a file to staging
* Create a commit
* Create a new branch
* Create a GitHub repo
* Push a branch to GitHub
What are you doing with your social media outlets? Need some topic ideas? Tractleads4Movers has created a list with 43 post ideas for any of your social media outlets.
MARA: Scaffolding for Modern ApplicationsNGINX, Inc.
MARA is an reference architecture for Kubernetes that aims to be as production ready as possible. The MARA team created it to showcase the open source underpinnings of modern applications in an easily deployable, modifiable, and shareable fashion. As a framework, MARA focuses on protocols over products, enabling users to add and remove components to meet their specific needs. In this session Jason Schmidt, Solutions Architect for NGINX, discusses the MARA design philosophy, the progress that has been made over the past year, and the project roadmap. He focuses special attention on both expected and unexpected challenges encountered on the way, and explores key real-world use cases.
Speakers:
Jason Schmidt
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
Over the last year there has been a lot of buzz about Clean Architecture in the Android community, but what is Clean Architecture? How does it work? And should I be using it? Recently at Badoo we decided to rewrite our messenger component.
Over the years this core piece of functionality in our app has become large and unwieldy. We wanted to take a fresh approach to try and prevent this from happening again. We choose to use Clean Architecture to achieve our goal. This talk intends to share our journey from theory to implementation in an application with over 100 million downloads. By the end, you should not only understand what Clean Architecture is, but how to implement it, and whether you should.
Certificate in Generative AI issued by Databricks. Topics covered are:
Introducing Generative AI
Finding Success With Generative AI
Assessing Potential Risks and Challenges
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
talks about the idea shared by Seth Godin on marketing ideas for the digital age.
This presentation was created by G. Krupakhar, IIITDM Kancheepuram, during a marketing internship program under the guidance of Prof. Sameer Mathur, IIM Lucknow.
GitHub Actions is a great addition to the GitHub toolchain, but what can you use them for beyond building the code in your GitHub repository?
In this session Morten Christensen (https://twitter.com/sitereactor), dive into what a GitHub Action actually is and how it can be used through examples and demos.
We will have a look at workflows related to Continuous Integration / Continuous Deployment and open source projects - and finally we will look at how you can extend your workflows with your own Actions.
By the end of this session you should have a good idea of how you can utilize GitHub Actions and Workflows to automate anything and everything related to your GitHub repository. So expect to see a lot of YAML :)
At the end of this session, you will be able to:
* Install git
* Create a local git repository
* Add a file to the repo
* Add a file to staging
* Create a commit
* Create a new branch
* Create a GitHub repo
* Push a branch to GitHub
What are you doing with your social media outlets? Need some topic ideas? Tractleads4Movers has created a list with 43 post ideas for any of your social media outlets.
MARA: Scaffolding for Modern ApplicationsNGINX, Inc.
MARA is an reference architecture for Kubernetes that aims to be as production ready as possible. The MARA team created it to showcase the open source underpinnings of modern applications in an easily deployable, modifiable, and shareable fashion. As a framework, MARA focuses on protocols over products, enabling users to add and remove components to meet their specific needs. In this session Jason Schmidt, Solutions Architect for NGINX, discusses the MARA design philosophy, the progress that has been made over the past year, and the project roadmap. He focuses special attention on both expected and unexpected challenges encountered on the way, and explores key real-world use cases.
Speakers:
Jason Schmidt
Build a Custom Model for Object & Logo Detection (AIM421) - AWS re:Invent 2018Amazon Web Services
Detecting specific objects and logos is a feature that can help companies in any industry, from media and entertainment to financial services. However, detecting new objects or logos requires building a custom model. In this chalk talk, learn how to use Amazon Rekognition and Amazon SageMaker to build a custom model to detect logos, objects, or even inappropriate content.
[WSO2Con EU 2017] The Effects of Microservices on Corporate IT StrategyWSO2
When organizations embark on digital transformation, there are key things that will add value and shape to their journey - the ability to react fast to market conditions, innovate rapidly, and market quickly among others. To this end, a mircoservice architecture (MSA) will aid organizations by increasing their agility. This slide deck discusses the impact of microservices on an organization's overall IT strategy, focusing on the benefits of adopting an MSA as well as the challenges and how to address these.
Analytics Zoo: Building Analytics and AI Pipeline for Apache Spark and BigDL ...Databricks
A long time ago, there was Caffe and Theano, then came Torch and CNTK and Tensorflow, Keras and MXNet and Pytorch and Caffe2….a sea of Deep learning tools but none for Spark developers to dip into. Finally, there was BigDL, a deep learning library for Apache Spark. While BigDL is integrated into Spark and extends its capabilities to address the challenges of Big Data developers, will a library alone be enough to simplify and accelerate the deployment of ML/DL workloads on production clusters? From high level pipeline API support to feature transformers to pre-defined models and reference use cases, a rich repository of easy to use tools are now available with the ‘Analytics Zoo’. We’ll unpack the production challenges and opportunities with ML/DL on Spark and what the Zoo can do
Real-time Computer Vision With Ruby - OSCON 2008Jan Wedekind
Computer vision software requires image- and video-file-I/O as well as camera access and fast video display. Ruby and existing open source software allowed us to develop a machine vision library combining performance and flexibility in an unprecedented way. Native array operations are used to implement a variety of machine vision algorithms. This research was funded by the Nanorobotics grant.
Using Genetic algorithm for Network Intrusion DetectionSagar Uday Kumar
Using Genetic algorithm for Network Intrusion Detection : Genetic Algorithm IDS involves detecting the intrusion based on the log history, possible intrusions that are likely to occur. In Genetic Algorithm, each connection will be considered as a chromosome” which consists of many “genes” ( properties of the connection like : sourceIP, targetIP, port no., protocol …), One has to find the fitness value of each such chromosomes to detect intrusion.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2021/02/practical-guide-to-implementing-deep-neural-network-inferencing-at-the-edge-a-presentation-from-zebra-technologies/
Toly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, presents the “Practical Guide to Implementing Deep Neural Network Inferencing at the Edge” tutorial at the September 2020 Embedded Vision Summit.
In this presentation, Kotlarsky explores practical aspects of implementing a pre-trained deep neural network (DNN) inference on typical edge processors. First, he briefly touches on how we evaluate the accuracy of DNNs for use in real-world applications. Next, he explains the process for converting a trained model in TensorFlow into formats suitable for deployment at the edge and examines a simple, generic C++ real-time inference application that can be deployed on a variety of hardware platforms
Kotlarsky then outlines a method for evaluating the performance of edge DNN implementations and shows the results of utilizing this method to benchmark the performance of three popular edge computing platforms: The Google Coral (based on the Edge TPU), NVIDIA Jetson Nano and Raspberry Pi 3.
We are living in an era where changes are taking place very quickly.
Imagine a scenario where we can use Machine Learning to identify changes that are associated with incidents and problems.
Then classify them using the Cynefin framework to determine the context of change according to the 5 domains: simple, complicated, complex, chaotic and disorder (natural science).
Come up with a Decision Intelligence model that can provide the best answer to the potential problems caused by this ever evolving environment.
Finally add the Requests to the Incident Model, as ITSM focus, on IT4IT Value Stream Network!
Adversarial machine learning for av softwarejunseok seo
Introduce practical guidances for developing adversarial machine model for anti-malware software. I didn't use reinforcement model yet, just proof-of-concept. If you have any questions about my work, email to me :)
nababora@naver.com
Defend against adversarial AI using Adversarial Robustness Toolbox Animesh Singh
With great power comes great responsibility. Adversarial examples in AI pose an asymmetrical challenge with respect to attackers and defenders. AI developers must be empowered to defend deep neural networks against adversarial attacks and allow rapid crafting and analysis of attack and defense methods for machine learning models.
Animesh Singh and Tommy Li explain how to implement state-of-the-art methods for attacking and defending classifiers using the open source Adversarial Robustness Toolbox. The library provides AI developers with interfaces that support the composition of comprehensive defense systems using individual methods as building blocks. Animesh and Tommy then demonstrate how to use a Jupyter notebook to leverage attack methods from the Adversarial Robustness Toolbox (ART) into a model training pipeline. This notebook trains a CNN model on the Fashion MNIST dataset, and the generated adversarial samples are used to evaluate the robustness of the trained model.
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
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Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
4. Ethics and Privacy Announcement
All of our researches concerning ethics and privacy are
under oversight by an independent committee of IRB
(Institutional Review Boards).
All sensitive data in this presentation are de-identified
and de-linked before use.
https://www.cnshealthcare.com/learn-more/what-is-clinical-research/item/73-what-s-an-irb.html
22. V1-Script , main.py (2/2)
# First, load the model
resnet = models.resnet101(pretrained=False)
state_dict = torch.load("resnet101-5d3b4d8f.pth")
resnet.load_state_dict(state_dict)
# Second, put the network in eval mode
resnet.eval()
# Third, carry out model inference
out = resnet(batch_t)
_, index = torch.max(out, 1)
percentage = torch.nn.functional.softmax(out, dim=1)[0] * 100
print(classes[index[0]], percentage[index[0]].item())
# load model, and do inference
24. V2-model-class, myresnet.py (1/2)
class MyResnet():
def __init__(self, model_state_path: str,
classes_names_path: str):
# load the model
self._model = models.resnet101(pretrained=False)
state_dict = torch.load(model_state_path)
self._model.load_state_dict(state_dict)
# put the network in eval mode
self._model.eval()
# create an image transform
.....
# load names of all classes
.....
# wrap AI model into a class
25. V2-model-class, myresnet.py (2/2)
class MyResnet():
def predict(self, img: Image):
img_t = self.transform(img)
batch_t = torch.unsqueeze(img_t, 0)
# carry out model inference
out = self._model(batch_t)
_, index = torch.max(out, 1)
percentage = torch.nn.functional.softmax(out,
dim=1)[0] * 100
return self.classes[index[0]],
percentage[index[0]].item()
# wrap AI model into a class
26. V2-model-class, main.py
from PIL import Image
from model import MyResnet
imgnet = MyResnet("resnet101-5d3b4d8f.pth",
"imagenet_classes.txt")
img = Image.open("../test-data/cat.jpg")
class_name, percentage = imgnet.predict(img)
# pass an image to MyResnet and do predict