Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get...
Make huge neural nets fit in memory
Code for visualizing the loss landscape of neural nets
翻译 - 可视化神经网络损失情况的代码
Source code to go with my introductory video on neural nets in python
#计算机科学#Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
A GPU implementation of Convolutional Neural Nets in C++
#计算机科学#Detect fire in images using neural nets
#计算机科学#A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation
#计算机科学#NYU Deep Learning Spring 2020
翻译 - 深度学习(使用PyTorch)
#计算机科学#Style transfer using deep convolutional neural nets
generative adversarial nets for neural machine translation
OptNet - Reducing memory usage in torch neural nets
Convolutional neural nets for single channel speech enhancement
Rapid hyperparameter discovery for neural nets using genetic algorithms
Create animations for the optimization trajectory of neural nets
Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
#计算机科学#Time series prediction using dilated causal convolutional neural nets (temporal CNN)
Predicting Air Pollution in Beijing, China using Deep Neural Nets
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle