Denny Britz

High-school dropout. CS @ Stanford, Berkeley. Into Startups, Deep Learning. Writing at wildml.com and dennybritz.com. Living in Asia.

Deep Learning For Chatbots, Part 2 – Implementing A Retrieval-Based Model In TensorFlow

By Denny Britz, WildML on July 29, 2016 in Chatbot, Deep Learning, Python, TensorFlow
Check out part 2 of this tutorial on building chatbots with deep neural networks. This part gets practical, and using Python and TensorFlow to implement.
Deep Learning for Chatbots, Part 1 – Introduction

By Denny Britz, WildML on April 19, 2016 in Chatbot, Deep Learning, Siri
The first in a series of tutorial posts on using Deep Learning for chatbots, this covers some of the techniques being used to build conversational agents, and goes from the current state of affairs through to what is and is not possible.
Attention and Memory in Deep Learning and NLP

By Denny Britz, WildML on January 12, 2016 in Deep Learning, Machine Translation, NLP, Recurrent Neural Networks
An overview of attention mechanisms and memory in deep neural networks and why they work, including some specific applications in natural language processing and beyond.
Understanding Convolutional Neural Networks for NLP

By Denny Britz, WildML on November 11, 2015 in Convolutional Neural Networks, Deep Learning, Neural Networks, NLP
Dive into the world of Convolution Neural Networks (CNN), learn how they work, how to apply them for NLP, and how to tune CNN hyperparameters for best performance.
Recurrent Neural Networks Tutorial, Introduction

By Denny Britz, WildML on October 7, 2015 in Deep Learning, Neural Networks, NLP, Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are popular models that have shown great promise in NLP and many other Machine Learning tasks. Here is a much-needed guide to key RNN models and a few brilliant research papers.

Denny Britz

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