Master TensorFlow 2.0

#001 An Introduction to TensorFlow 2.0 Part 1

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

#002 An Introduction to TensorFlow 2.0 Part 2

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

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

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

#004 TensorFlow 2.0 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

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

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

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

How to recognize handwritten digits using Shallow Neural Network

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

How to recognize data from MNIST dataset using Convolutional Neutal Network

#010 TensorBoard: Visualizing Learning

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

#011 Improve the model performance with Data Augmentation

Most computer vision tasks require lots of data and data augmentation is one of the techniques used to improve the performance of those systems

#012 Transfer Learning in TensorFlow 2.0

What if we don’t have enough data to train our network from scratch? A solution to this is using the transfer learning method

#013 TensorFlow Lite

TensorFlow Lite is TensorFlow’s lightweight solution for mobile and embedded devices

#014 Implementing LeNet-5 in TensorFlow 2.0

Learn how to implement the first the first Convolutional Neural Network called LeNet-5

#015 AlexNet in TensorFlow 2.0

How to build and train AlexNet on two classes from ImageNet dataset?

#016 Implementing a VGG-19 network in TensorFlow 2.0

Learn how to implement a fundamental Convolutional Neural Network like VGG−19 in TensorFlow

#017 YOLO V3 Object Detection in TensorFlow 2.0

Yolo is a state-of-the-art, object detection system. It was developed by Joseph Redmon

#018 Gradient Descent in TensorFlow

Learn how to implement Gradient Descent using TensorFlow

#019 YOLO Object Detection

In this post we will learn about the YOLO Object Detection system, and how to implement such a system with Keras

#020 Logistic Regression in TensorFlow

How to implement Logistic Regression in TensorFlow?