🎉TensorFlow2.0-Examples🎉!
"Talk is cheap, show me the code." ----- Linus Torvalds
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Created by YunYang1994](https://github.com/YunYang1994/TensorFlow2.0-Examples/blob/master/LICENSE)
This tutorial was designed for easily diving into TensorFlow2.0. it includes both notebooks and source codes with explanation. It will be continuously updated ! 🐍🐍🐍🐍🐍🐍
Contents
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.
- CNN (notebook) (code). Implement CNN Model with TensorFlow.
3 - Neural Network Architecture
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VGG16 (notebook) (code)(paper). VGG16: Very Deep Convolutional Networks for Large-Scale Image Recognition.
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Resnet (notebook) (code)(paper). Resnet: Deep Residual Learning for Image Recognition. 🔥🔥🔥
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AutoEncoder (notebook) (code)(paper). AutoEncoder: Reducing the Dimensionality of Data with Neural Networks.
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FPN (notebook) (code)(paper). FPN: Feature Pyramid Networks for Object Detection.
4 - Object Detection
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RPN (notebook) (code)(paper). RPN: a Region Proposal Network 🔥🔥🔥🔥🔥
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MTCNN (notebook) (code)(paper). MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks. (Face detection and Alignment) 🔥🔥
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YOLOv3 (notebook) (code)(paper). YOLOv3: An Incremental Improvement.🔥🔥🔥🔥
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SSD (notebook) (code)(paper). SSD: Single Shot MultiBox Detector.🔥🔥🔥🔥 【TO DO】
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Faster R-CNN (notebook) (code)(paper). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.🔥🔥🔥🔥 【TO DO】
5 - Image Segmentation
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FCN (notebook) (code)(paper). FCN: Fully Convolutional Networks for Semantic Segmentation. 🔥🔥🔥🔥🔥
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Unet (notebook) (code)(paper). U-Net: Convolutional Networks for Biomedical Image Segmentation. 🔥🔥
6 - Generative Adversarial Networks
- DCGAN (notebook) (code)(paper). Deep Convolutional Generative Adversarial Network.
- Pix2Pix (notebook) (code)(paper). Image-to-Image Translation with Conditional Adversarial Networks.