This repository was the records when studying deep learning courses, firstly I start DL courses from cs244n and cs231n.
CS244N is meanly talk about how to do NLP tasks with DL, cover word vector representations, window-based neural networks, recurrent neural networks, long-short-term-memory models, recursive neural networks,convolutional neural networks as well as some recent models involving a memory component.Detail introduction at here
This course is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification. detail introduction at here
Here I also record the models and practice with tensorflow.