The document provides an overview of TensorFlow, an open-source library for numerical computation and machine learning, detailing its popularity and accessibility for learners. It outlines the steps for getting started with TensorFlow, including creating a neural network and setting up a data pipeline. Additionally, it highlights key features such as tf.keras for model building and eager execution for user-friendly coding.

1. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Agenda

2. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Agenda
Introduction 01
What is TensorFlow?
Learning 02
Getting Started 03
Basic Code 04
What’s the easiest way to
learn TensorFlow?
Understanding
TensorFlow code!
What’s the fastest way to get
TensorFlow?

3. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
What Is TensorFlow?

4. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
What Is TensorFlow?
Open Source
TensorFlow is an open source library for numerical computation
and large-scale machine learning.
Definition
Available on both
Desktop and Mobile
Largest community
for Learners and
CollaboratorsLet’s get started then!

5. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Why Is TensorFlow So Popular?

6. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Popularity Of TensorFlow
As simple as pointing your phone!

7. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Popularity Of TensorFlow
Scam ProtectionFree Documents too!
Millions of happy travelers!

8. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Easiest Way To Get Started!

9. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Get Started!
Google
Colaboratory!
PyCharm

10. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Why Should You Learn TensorFlow?

11. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Why Should You Learn TensorFlow?
Learner’s Timeline
Train an Image Classifier Work on accuracy
Concept-heavy but code-light
Work on the purpose!

12. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Some Math!
The Math can be overwhelming at start!
Programming
Rules
Data
Answers
Machine Learning
Answers
Data
Rules

13. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Linear Regression – An Example
Let’s have an example!
A simple Linear Regression can
be:
y= w * x + b
Technique
Statistical technique used to
measure the relationship
between the variables
y = 0.1 * x + 0.3 Our Solution!

14. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
First Neural Network

15. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
First Neural Network
Steps to train your first Neural Network
Most of the work!
Few lines of code!
Just one line!
Just one line!
Just one line!Collect a dataset Train the Network
Predict
Build your model Evaluate

16. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
TensorFlow Architecture

17. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
TensorFlow Architecture
What is a Data Flow Graph? Recall the equation y = W * x + b
W - Weight x - Example b - Bias
Biases
Weight
Examples
MatMul
Add ReLu Gradients
Updated
Weights and
Biases

18. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
TensorFlow Architecture
TensorFlow runtime is a cross-platform library
Separates user level code in different languages from core runtime
Construction Phase Execution Phase
CLIENT WORKERS

19. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
TensorFlow Architecture
Worker’s Device Interactions
Client Master Worker
GPU #1 GPU #2 CPU #0
Session
Master Create Sessions
Execute Operations in the GraphWorker

20. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
TensorFlow Pipeline

21. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Simple Code - Pipeline
Steps to create a TensorFlow Pipeline
Create Data
Create Placeholder
Define Dataset
Create Pipeline
Execute Operation

22. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Simple Code - Pipeline
Create Data
Create Placeholder
Define Dataset
Create Pipeline
Execute Operation
import numpy as np
x_input = np.random.sample((1,2))
print(x_input)
[[0.8835775 0.23766977]]
MNIST
CIFAR 10

23. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Simple Code - Pipeline
Create Data
Create Placeholder
Define Dataset
Create Pipeline
Execute Operation
# using a placeholder
x = tf.placeholder(tf.float32, shape=[1,2], name = 'X')
=
It allows us to create our operations and build
our computation graph, without needing the data.
Does it differ, by a little?
YES!

24. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Simple Code - Pipeline
Create Data
Create Placeholder
Define Dataset
Create Pipeline
Execute Operation
dataset = tf.data.Dataset.from_tensor_slices(x)
Represents a sequence of elements
Tensor 1
Element Tensor 2
Tensor 3

25. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Simple Code - Pipeline
Create Data
Create Placeholder
Define Dataset
Create Pipeline
Execute Operation
iterator = dataset.make_initializable_iterator()
get_next = iteraror.get_next()
Where should the data flow?
Initialize
Feed the Data
Next Data
Loop

26. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Simple Code - Pipeline
Create Data
Create Placeholder
Define Dataset
Create Pipeline
Execute Operation
with tf.Session() as sess:
# feed the placeholder with data
sess.run(iterator.initializer, feed_dict={ x: x_input })
print(sess.run(get_next))
[0.8835775 0.23766978]
Initiate a session
Run operation iterator
Feed Numpy values
Populate Placeholder
Print the result

27. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Conclusion

28. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Conclusion #1
3 Major Highlights!
tf.keras is basically like Lego building blocks!
Eager Execution Makes TF code as easy as Python
Tf.data LOT OF INFORMATION!
Layers Hyperparameters
Optimizers

29. AI & Deep Learning Training www.edureka.co/ai-deep-learning-with-tensorflow
Conclusion #2