This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Experimental code to read/write NumPy .NPY files in MATLAB
MatConvNet: CNNs for MATLAB
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow
An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
YAD2K: Yet Another Darknet 2 Keras
Convolutional Neural Networks
Keras复现论文"Multi-scale Convolution Neural Networks for Crowd Counting"
Deep Learning Specialization by Andrew Ng on Coursera.
Some work of Andrew Ng's course on Coursera
