Machine Learning
This document contains a list of useful Machine Learning resources.
Deep Learning Book - The Ian Goodfellow and Yoshua Bengio and Aaron Courville book.
Neural Networks And Deep Learning - The Michael Nielsen's book. You cannot miss reading this book.
Convolution Math - The math about convolution.
Convolutional Neural Network - The Convolutional Neural Network, with pictures.
Standford Convolutional Network
Aymeric Damien Github - The Aymeric Damien github link. He teach me to understand how to use Tensorflow
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurélien Géron
Microsoft Cognitive Services - The Microsoft ML services
These are a list of github repositories. You can use them to implement Android applications with Tensorflow models.
Google - Machine Learning Google Material Design and ML
YOLO-V3 is the best Object Detection Algorithm
| # | TF Ver. | Link | Note |
|---|---|---|---|
| 1 | 2.0 | zzh8829-yolov3-tf2 | The reference |
| 2 | 1.6 | EdjeElectronics | How to install on Device |
| 3 | 1.6 | AntonMu | How to train |
How to install on Raspberry PI
Interesting repo that explain very easy how to train Yolo on a custom dataset. The repo have a link to a Medium article: