View in nbviewer: char-RNN
2020-08-13
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 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
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
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
2020-07-31

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
Resource Calculus on Computational Graphs: Backpropagation
2020-07-31
2020-07-31