CS230 - Deep Learning (Autumn 2018, Stanford Univ.): Lecture 09

CS230 - Deep Learning

CS230: Deep Learning. Instructors: Prof. Andrew Ng and Kian Katanforoosh, Department of Computer Science, Stanford University. Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You can find more information about this course, such as lecture slides and syllabus, here. (from Stanfordonline)

Lecture 09 - Deep Reinforcement Learning

Go to the Course Home or watch other lectures:

Lecture 01 - Class Introduction and Logistics

Lecture 02 - Deep Learning Intuition

Lecture 03 - Full-Cycle Deep Learning Projects

Lecture 04 - Adversarial Attacks/GANs

Lecture 05 - AI + Healthcare

Lecture 06 - Deep Learning Project Strategy

Lecture 07 - Interpretability of Neural Network

Lecture 08 - Career Advice/Reading Research Papers

Lecture 09 - Deep Reinforcement Learning

Lecture 10 - Chatbots/Closing Remarks