deeplizard examines the difference between concatenating and stacking tensors together. We’ll look at three examples, one with PyTorch, one with TensorFlow, and one with NumPy.
Code Bullet explores Deep Q Learning by teaching an AI to play Snake.
Lex Fridman sits down the great Kai-Fu Lee to talk about his life and work in AI across the US and China.
Kevin from Data School shares 25 tricks for Pandas.
Sensors that connect to a Windows or Linux gateway can be connected up to Azure IoT thru a simple JSON configuration- No code needed. Watch this episode of the IoT Show to see how!
In this video, Two Minute Papers takes a closer look at the paper “Scalable Muscle-actuated Human Simulation and Control.”
Think of the medical applications of this technology.
Much has been made about AI taking people’s jobs. Anything that is repetitive or easily described is considered an ideal use case for machine automation. Creative endeavors, like writing, have long been considered out of the reach for algorithms.
Well, that may not be the case.
writers and those who create things using some form of creativity—were more or less immune to the march of the machines. Then came GPT-2, which stands for Generative Pretrained Transformer 2. I think you’ll agree, that isn’t the sexiest name imaginable for a civilization-ending text bot. And since it’s version 2, I imagine that like Star Trek‘s M-5 computer, perhaps GPT-1 wasn’t entirely successful. That would be the original series episode titled, “The Ultimate Computer”, if you want to check it out.
Siraj Raval provides this curated ordered reading list of free books to help anyone learn machine learning efficiently.
From beginner to doing cutting edge research in 10 books, enjoy!
In this video, learn about Microsoft’s open source Confidential Consortium Framework (CCF), which leverages Trusted Execution Environment (TEE) technology to provide full confidentiality, high transaction throughput, and governance capabilities for blockchain and multi-party application builders.
Additional details can be found at: https://github.com/microsoft/CCF
Learn how to build your very own speech-to-text model using Python in this great article