snow-wind-001 / TensorFlow2.0-Examples

🍎 Tensorflow2.0 tutorial from basic to hard

Tensorflow2.0 Examples

continue to learn, continue to work, continue to update!

This tutorial was designed for easily diving into TensorFlow2.0. it includes both notebooks and source codes with explanation.

1 - Introduction

• Hello World (notebook) (code). Very simple example to learn how to print "hello world" using TensorFlow.
• Variable (notebook) (code). Learn to use variable in tensorflow.
• Basical operation (notebook) (code). A simple example that covers TensorFlow basic operations.
• Activation (notebook) (code). Start to know some activation functions in tensorflow.
• GradientTape (notebook) (code). Introduce a key technique for automatic differentiation

2 - Basical Models

• Linear Regression (notebook) (code). Implement a Linear Regression with TensorFlow.
• Logistic Regression (notebook) (code). Implement a Logistic Regression with TensorFlow.
• Multilayer Perceptron Layer (notebook) (code). Implement Multi-Layer Perceptron Model with TensorFlow.

3 - Image Classification

• ResNet (notebook) (code). Deep Residual Learning for Image Recognition.

4 - Object Detection

• YOLOV3 (notebook) (code). YOLOv3: An Incremental Improvement.

5 - Generative Adversarial Networks

• DCGAN (notebook) (code). Deep Convolutional Generative Adversarial Network.
• Pix2Pix (notebook) (code). Image-to-Image Translation with Conditional Adversarial Networks.

6 - Reinforcement Learning

• DQN (notebook) (code). deep Q-network (DQN).

7 - Utilities