AI assistance with PyText

Let’s take a look at how an AI assistant/chatbot could be developed using…

CS 294: Deep Reinforcement Learning (UC Berkeley)

Instructors: Sergey Levine, John Schulman, Chelsea Finn

Lectures: Mondays and Wednesdays, 9:00am-10:30am in 306 Soda Hall.

CS 20SI: Tensorflow for Deep Learning Research

Tensorflow is a powerful open-source software library for machine learning developed by researchers at Google Brain. It has many pre-built functions to ease the task of building different neural networks. Tensorflow allows distribution of…

Rules of Machine Learning: Best Practices for ML Engineering

Best practices for ML Engineering from Google.

CS231n: Convolutional Neural Networks for Visual Recognition

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks…

Polanyi’s Paradox

We can know more than we can tell… The skill of a driver cannot be replaced by a thorough schooling in the theory of the motorcar; the knowledge I have of my own body differs altogether from the knowledge of its physiology.

A guide to convolution arithmetic for deep learning