Deep Learning

RNN Implementation

View in nbviewer: char-RNN

2020-08-13

👍 Backpropagation Through Time (BPTT)

Recurrent neural networks (RNNs) have attracted great attention on sequential tasks. However, compared to general feedforward neural networks, it is a little bit harder to train RNNs since RNNs have feedback loops.

2020-08-13

RNN Resource

RNN Tutorials Illustrated Guide to Recurrent Neural Networks 🔥👍 Video Tutorial: Implementation min-char-rnn Application of RNN: The Unreasonable Effectiveness of Recurrent Neural Networks LSTM Tutorials Understanding LSTM Networks 🔥👍 Illustrated Guide to LSTM’s and GRU’s: A step by step explanation 🔥👍 Video Tutorial: 如何从RNN起步,一步一步通俗理解LSTM

2020-08-03

👍 LSTM Summary

Problem of Vanilla RNN Short-term memory If a sequence is long enough, they’ll have a hard time carrying information from earlier time steps to later ones. So if you are trying to process a paragraph of text to do predictions, RNN’s may leave out important information from the beginning.

2020-08-03

👍 RNN Summary

Intuition Humans don’t start their thinking from scratch every second. As you read this article, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again.

2020-08-03

Recurrent Neural Network (RNN)

2020-07-31

Deep Learning (DL)
Deep Learning (DL)

Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning.

2020-07-31

👍 Optimization Algorithms

Resource Calculus on Computational Graphs: Backpropagation

2020-07-31

Neural Network Basics

2020-07-31