IgmGuru takes great pride in introducing the well-curated deep learning with tensorflow training in which industry leaders and academia has been consulted while preparing this course.

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Deep Learning with TensorFlow Course
 40 Hours
IgmGuru takes great pride in introducing the well-curated Deep Learning with TensorFlow course
in which industry leaders and academia has been consulted while preparing this course.
IgmGuru is very enthusiastic about the Deep Learning with TensorFlow course as we will go
through some of the famous use cases and prepare the learners to face industry-related
challenges. Deep Learning is loosely inspired by the ways humans process information and then
communicate through our own biological neural networks. These learning algorithms are able to
process vast amounts of data to build meaningful relationships amongst them.
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Deep Learning with TensorFlow Course Overview
Deep Learning is considered a niche skill. It is an ever-expanding field and is widely regarded as
an extension of Machine Learning algorithm. Deep Learning is an aspect of artificial intelligence
that depends on data representations rather than task-specific algorithms. There are a lot of
applications that are a by-product of Deep Learning techniques starting from self-driving cars,
movie suggestions appearing in various streaming platforms, word suggestions being provided
when you compose a WhatsApp message, etc. Deep Learning skill is much in demand in the
market as you need to have a very good understanding of the algorithms along with a very good
foundation of machine learning concepts. Deep Learning with the TensorFlow course is going to
cover all these aspects.
In fact, as per one of the recent job-related survey, it was found that the demand for Deep
Learning using TensorFlow far outstretches the supply. And for the same reason, there are a lot
of organizations that have started upskilling their employees to fulfill these gaps.
Similar to machine learning, there is a tremendous growth rate for Deep Learning related jobs.
Another reason which could oblige you to seriously think about this skill set is automation. As we
must have heard about reports stating that there are a lot of jobs which could vanish due to
automation in the next few years. Upskilling is an area that is automation proof that is
something everyone would like to acquire.
IgmGuru offers one of the best Deep Learning with TensorFlow courses in the market that covers
all the skills required to become proficient in the Deep Learning domain. There will be a lot of
business-world projects in which learners would be implemented to enhance understanding.
Hence, by leveraging IgmGuru’s Deep Learning with TensorFlow certification training, learners
will be exposed to numerous high-paying opportunities.
Learners who are interested in deep learning with TensorFlow course need to have a very good
understanding of Machine Learning techniques. You can enroll in the Machine Learning course
from IgmGuru to gain the necessary skills.
There are a lot of companies hiring Deep Learning engineers/specialists. Notable among them
are IT companies like Microsoft, Intel, Nvidia, Flipkart, Amazon, and a lot more. Learners’ who
would finally be acquiring the skill set of Deep Learning could end up in the below-mentioned
profiles
1. Deep Learning engineer
2. Deep Learning specialist
3. Artificial Intelligence engineer
4. Data Scientist with DL skill
Deep learning is part of a broader family of machine learning methods based on artificial neural
networks with representation learning. Learning can be supervised or unsupervised. Artificial
neural networks were inspired by information processing and distributed communication nodes
in biological systems.
There is a lot of different deep learning architecture which we will study in this deep learning
using TensorFlow training course ranging from deep neural networks, deep belief networks,
recurrent neural networks, and convolutional neural networks. They have been applied to fields
including computer vision, machine vision, speech recognition, natural language processing,
audio recognition, social network filtering, machine translation, bioinformatics, drug design,
medical image analysis, material inspection. Some of these architectures have known to
produce better results than humans and will be discussed in deep learning TensorFlow training
course.
We will be using the open-source library known as TensorFlow while providing deep learning
TensorFlow training course which is developed and maintained by Google Brain. Tensorflow is
an API that could be used in Python (as a library) to build and deploy various deep learning
models. Tensorflow is very much suited mostly for deep learning algorithms but we can also
build a machine learning algorithm. We will understand more about TensorFlow in this course
and explore the various operations that we can perform on it. There are many other options
available apart from TensorFlow to build deep learning algorithms like Keras, Caffe framework,
Mxnet, etc. Since TensorFlow is widely used in the industry, we also get a lot of community
support for related issues.
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2. Deep Learning has been broadly classified into Supervised and Unsupervised learning.
What are the Objectives
Learners would be made familiar with the various types of Deep Learning techniques under
each supervised and unsupervised learning methods in Deep Learning with TensorFlow
course.
They would also have a very good idea about the usage of the techniques depending on
the business problems.
Each session in deep learning with TensorFlow certification ends with assignments and
tasks that you need to solve based on the available dataset.
Further, you will work on many industry-specific projects that will solidify your skills in
Deep learning has the potential to change the way businesses make decisions. These algorithms
to be taught in deep learning TensorFlow training course takes massive amounts of unstructured
data and build programs that can analyze natural language, sentiment, and other complicated
data the way the human brain would, only better.
Deep learning models are transforming the way we approach business. Humans produce a
massive amount of data, but up to now, we've been unable to use it fully. Now, deep learning
algorithms are providing learning techniques and real-world solutions based on these large data
sets. We will be exploring some of these techniques in deep learning the TensorFlow training
course.
Deep Learning with TensorFlow course focuses on the development of computer programs that
use data to understand patterns and relationships on its own. The primary aim is to allow the
computers to learn automatically without human intervention or assistance and adjust actions
accordingly. There is a stark difference in the way of finding a relationship between the different
variables in deep learning and machine learning. We will also touch upon these important
aspects.
What are the Key Deliverables
The Deep Learning with TensorFlow course will mostly deal with the below things
Difference between supervised and unsupervised techniques
Understanding the usage of supervised and unsupervised learning techniques
Choosing the best algorithm for a given problem
Understanding the various accuracy measures
Deep Learning Using TensorFlow Training Module
Key Features
For Individuals
Lesson 1 - Introduction to Deep Learning
Lesson 2 - Perceptron
Lesson 3 - How to train ANNs
Lesson 4 - Multi-layer ANN
Lesson 5 - Introduction to TensorFlow
Lesson 6 - Training Deep Neural Nets
Lesson 7 - Convolutional Neural Networks
Lesson 8 - Recurrent Neural Networks
Lesson 9 - Other forms of Deep Learning
Instructor Led Training : 40 Hrs Experienced & Professional Trainers
Online Class Room Program
90 days of access to 1+ instructor-led
online training classes
180 days of access to high-quality,self-
paced learning content designed by
experts
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Batches start from 06 Feb 2021.
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3. Tensorflow Certification Exam
Frequently Asked Questions
Q : What will be the mode and duration of Deep Learning with TensorFlow course?
Q : What if a class is missed?
Q : What are the prerequisites for taking up the course of Deep Learning using TensorFlow?
Q : Will there be any certificate provided after completion of the Deep Learning using
TensorFlow training?
Q : What is the cost of Deep Learning using the TensorFlow certification exam and how shall the
payment be made?
Q : What are the additional benefits/services which I will get once I enroll for Deep Learning
using the TensorFlow course?
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