Introducing tensorflow library

1. Tensorflow
Open-source library for dataflow programming

2. History

3. AI winters

4. ML methods

5. ML methods

6. Supervised vs Unsupervised

7. Supervised learning process

8. Supervised learning uses

9. Unsupervised

10. Unsupervised Learning

11. Workshop
Tensorflow Playgound
https://playground.tensorflow.org

12. What is Tensorflow
TensorFlow™ is an open source software library for high performance numerical computation. Its flexible
architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs),
and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers
and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for
machine learning and deep learning and the flexible numerical computation core is used across many other
scientific domains.

13. Tensorflow High Level API

14. Workshop
Estimators
https://www.tensorflow.org/programmers_guide/estimators

15. Feature columns

16. Basics
Linear regression
Logistic regression
Softmax
Neural Networks
Gradient Descent
Under the hood

17. Single neuron

18. Feature columns

19. Sigmoid & Softmax

22. Neural Network Types

23. Gradient Descent

24. Workshop
Tensorflow js
https://js.tensorflow.org