Deep learning is a part of machine learning with an algorithm inspired by the structure and function of the brain, which is called an
Deep Learning
Basic Concepts in Deep Learning
Deep learning is a machine learning method consisting of multiple layers that predict results with a given data set. Deep learning, machine learning, and
What is backpropagation really doing?
Backpropagation is a popular technique for training a neural network. In machine learning, backpropagation is a broadly utilized algorithm for training feedforward neural networks.
MIT Introduction to Deep Learning : (New 2021 Edition)
MIT’s introductory course on deep learning methods with applications in gameplay, and more! MIT’s introductory course on deep learning methods with applications to computer
Singularity of the Hessian in Deep Learning | Yann LeCun, Leon Bottou, Levent Sagun | Article
Given a (piece-wise) differentiable loss function, and a gradient-based algorithm to minimize it, the knowledge of the second-order information about it can tell us
Deep Learning for Self-Driving Cars – Lecture 1 and 5
Deep Learning for Self-Driving Cars (2018 version) Lecture 1 and 5 Deep learning: Set of techniques that have worked well for AI techniques in
CS230 Deep Learning Lectures | Stanford Engineering
Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning,
Power & Limits of Deep Learning – Yann LeCun
At a workshop on AI and the Future of Work earlier this month, Yann LeCun, Director of AI Research at Facebook and Founding Director
Deep Learning and the Future of AI
Over the last few years, rapid progress in AI has enabled our smartphones, social networks, and search engines to understand our voice, recognize our
Deep Learning: Artificial Intelligence Meets Human Intelligence
Deep learning is based on technical advances made by the neural network revolution in the 1980s. Why did it take so long for neural