This is a pytorch code for video (action) classification using 3D ResNet trained by this code. The 3D ResNet is trained on the Kinetics dataset, which includes 400 action classes. This code uses videos as inputs and outputs class names and predicted class scores for each 16 frames in the score mode. pytorch-kaldi is a public repository for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Sep 25, 2017 · Pytorch Tutorial for Fine Tuning/Transfer Learning a Resnet for Image Classification If you want to do image classification by fine tuning a pretrained mdoel, this is a tutorial will help you out. It shows how to perform fine tuning or transfer learning in PyTorch with your own data. Introduction to Recurrent Neural Networks in Pytorch 1st December 2017 22nd March 2018 cpuheater Deep Learning This tutorial is intended for someone who wants to understand how Recurrent Neural Network works, no prior knowledge about RNN is required. Deep Learning Long Short-Term Memory (LSTM) Networks: What You Should Remember New technologies often lead to the development of new Deep Learning (DL) Artificial Neural Networks (ANNs) . Such is the case with Convolutional Neural Networks (CNNs) and Long Short-Term Memory Networks (LSTMs).