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The mentioned #OpenAI blog post on the gradients and its notebook are available here:
Post: https://www.wandb.com/articles/exploring-gradients
Notebook: https:/…

Speaker: Yikang Shen

Paper: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks

Authors: Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville

In general, natural language is governed by a tree structure: smaller units (e.g.…

LSTM's and GRU's are widely used in state of the art deep learning models. For those just getting into machine learning and deep learning, this is a guide in plain English with helpful visuals to help you grok LSTM's and GRU's.

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Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A friendly explanation of how computers predict and generate sequences, based on Recurrent Neural Networks.
For a brush up on Neural Networks…

Backpropagation through time
Watch the Reinforcement Learning course on Skillshare: https://skl.sh/2WHyoVG
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Best Books on Machine Learning :
1. Introduction to…

Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193

Welcome to the next tutorial covering deep learning with Python, Tensorflow, and Keras. We've been working on a cryptocurrency price movement prediction recurrent neural network, focusing mainly on the pre-processing that we've got to do. In this tutorial…

Talk by Jerry Chi, Data Science Manager at Indeed Tokyo. https://www.linkedin.com/in/jerrychi/

The talk includes:
* Brief overview of related concepts: Transformers, embeddings, and approximate nearest neighbors
* Using embeddings for retrieval vs. ranking…