Particle Swarm Optimizer For Neural Network Training
适合新手学习的神经网络实践教程+代码。a awesome neural network practice p...
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Rec...
Caltech Machine Learning course notes and homework. Implements from scra...
In this part, I've introduced and experimented with ways to interpret an...
The only dynamic and reconfigurable Artificial Neural networks library w...
Back Propagation, Python
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
This library provides a set of basic functions for different type of dee...
A simple multi-layer feed-forward neural network with backpropagation bu...
Model-based Policy Gradients
DSL for forward and reverse mode automatic differentiation in Haskell. ...
yet another scalar autograd engine - featuring complex numbers and fixed...