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
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
A GPU implementation of Convolutional Neural Nets in C++
Detect fire in images using neural nets
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）
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
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
Visualizing the Loss Landscape of Neural Nets - Deep Learning Project
GUI-based software for training, evaluating and applying deep neural nets for image classification
Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.