"I can understand the content of any photograph and I’ll try to describe it as well as any human. I’m still learning so I’ll hold onto your photo but no personal info."
The Promise of AI
By Frank Chen, this presentation shares more about the promise of artificial intelligence, beyond the hype. It's a ~45-minute narrated walkthrough of what companies are doing with AI today and what’s bubbling up from the research community that’s just a few years out.
CS 20SI: Tensorflow for Deep Learning Research
This course will cover the fundamentals and contemporary usage of the Tensorflow library for deep learning research. We aim to help students understand the graphical computational model of Tensorflow, explore the functions it has to offer, and learn how to build and structure models best suited for a deep learning project. Through the course, students will use Tensorflow to build models of different complexity, from simple linear/logistic regression to convolutional neural network and recurrent neural networks with LSTM to solve tasks such as word embeddings, translation, optical character recognition. Students will also learn best practices to structure a model and manage research experiments.
Machine-Learning Maestro Michael Jordan on the Delusions of Big Data and Other Huge Engineering Efforts
3 years passed, this 2014 article might still help us think about Big Data and AI.
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