Posted by Heng-Tze Cheng, Senior Software Engineer, Google ResearchThe human brain is a sophisticated learning machine, forming rules by memorizing...

Many people ignore the difference between artificial intelligence and machine learning, which can have adverse effects if done with ill purpose.

In this episode of TensorFlow Tip of the Week, we’ll look at how you can get TensorBoard working with Keras-based TensorFlow code. TensorBoard is a visualization tool that helps you visualize your TensorFlow graph, plot quantitative metrics about the execution…

Pavel Pleskov shares five secrets to becoming a Kaggle grandmaster. This video discusses:
— Whether you should strive to earn the title.
— The difference between the academic and the business approach to machine learning contests.
— What the best practical…

TensorFlow AutoGraph automatically converts plain Python code into its TensorFlow equivalents, using source code transformation. Our approach is complementar...

This is a summary of weight initialization in aritifical neural networks.

www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each…

EE380: Computer Systems Colloquium Seminar
Information Theory of Deep Learning
Speaker: Naftali Tishby, Computer Science, Hebrew Univerisity

I will present a novel comprehensive theory of large scale learning with Deep Neural Networks, based on the correspondence…

The entire field of mathematics summarised in a single map! This shows how pure mathematics and applied mathematics relate to each other and all of the sub-topics they are made from.

#mathematics #DomainOfScience

If you would like to buy a poster of this…

This is a talk by Marc Raibert for course 6.S099: Artificial General Intelligence. He is the CEO of Boston Dynamics. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level…

Laurence Moroney (@lmoroney) gives you the quick breakdown on using Comma Separated Values (CSVs), with Keras. Watch to see how easy it is to train TensorFlow models from CSV data using Keras utilities. Stay tuned for more TensorFlow tips, and subscribe to…

A tutorial that covers the basics of particle swarm optimization while implementing a simplified, barebones version with Python

UPDATE: We’ve also summarized the top 2019 and top 2020 AI & machine learning research papers. Trying to keep up with AI research papers can feel like an exercise in futility given how quickly the industry moves. If you’re buried in papers to read that you…

Swift for TensorFlow combines the flexibility of Eager Execution with the high performance of Graphs and Sessions. Behind the scenes, Swift analyzes your Ten...

Things they don’t teach you in graduate school

Raymond Hettinger
Learn to take better advantage of Python's best features and improve existing code through a series of code transformations, "When you see this, do that instead."