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Master TensorFlow 2.0

#001 An Introduction to TensorFlow 2.0 Part 1

TensorFlow introduction

TensorFlow is an open-source library for numerical computations built by Google Brain team

#002 An Introduction to TensorFlow 2.0 Part 2

TensorFlow graph

What are TensorFlow data model elements? Those are elements like Constants and Variables

#003 Eager Execution- A Pythonic way of using TensorFlow 2.0

TensorFlow Eager execution

Eager execution is a more convenient way to execute the code, and also more “Pythonic”

#004 TensorFlow 2.0 Wrappers

TensorFlow Wrappers

TensorFlow has multiple APIs that can be used to interact with the library. Let's talk about that

#005 An implementation of a Shallow Neural Network with TF 2.0 – Circles dataset

TensorFlow – Circles dataset

In this post we are going to implement one very simple network using this high-level API

#006 An implementation of a Shallow Neural Network in TF 2.0 – Moons dataset

TensorFlow – Moons dataset

Learn how to perform classification of Moons dataset with a Shallow Neural Network

#007 An implementation of a Shallow Neural Network in TF 2.0 – Spirals dataset

TensorFlow – Spirals dataset

Learn how to perform classification of Spirals dataset with a Shallow Neural Network

#008 An implementation of a Shallow Neural Network in TF 2.0 – digits dataset

TensorFlow – digits dataset

How to recognize handwritten digits using Shallow Neural Network

#009 An implementation of a Shallow Neural Network in Tf 2.0 – digits dataset

TensorFlow – MNIST dataset

How to recognize data from MNIST dataset using Convolutional Neutal Network

#010 TensorBoard: Visualizing Learning

TensorFlow Tensorboard

For most people, neural networks can sometimes be a bit of black box. Debugging problems is also a lot easier when we can see what the problem is