LSTM Networks - The Math of Intelligence (Week 8)

Recurrent Networks can be improved to remember long range dependencies by using whats called a Long-Short Term Memory (LSTM) Cell. Let's build one using just numpy! I'll go over the cell components as well as the forward and backward pass logic. Code for this video: https://github.com/llSourcell/LSTM_Networks Please Subscribe! And like. And comment. Thats what keeps me going. More learning resources: https://www.youtube.com/watch?v=ftMq5ps503w https://www.youtube.com/watch?v=cdLUzrjnlr4 https://www.youtube.com/watch?v=hWgGJeAvLws http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/ https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/