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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.
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Description
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)
Course content
- Lecture 01 – Class Introduction and Logistics Unlimited
- Lecture 02 – Deep Learning Intuition Unlimited
- Lecture 03 – Full-Cycle Deep Learning Projects Unlimited
- Lecture 04 – Adversarial Attacks/GANs Unlimited
- Lecture 05 – AI + Healthcare Unlimited
- Lecture 06 – Deep Learning Project Strategy Unlimited
- Lecture 07 – Interpretability of Neural Network Unlimited
- Lecture 08 – Career Advice/Reading Research Papers Unlimited
- Lecture 09 – Deep Reinforcement Learning Unlimited
- Lecture 10 – Chatbots/Closing Remarks Unlimited
Instructor
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