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| Name | MIT Introduction to Deep Learning (2023) | 6.S191 |
| Video Uploader | Video From Alexander Amini |
| Upload Date | This Video Uploaded At 10-03-2023 11:30:10 |
| Video Discription | MIT Introduction to Deep Learning 6.S191: Lecture 1 Foundations of Deep Learning Lecturer: Alexander Amini 2023 Edition For all lectures, slides, and lab materials: http://introtodeeplearning.com/ Lecture Outline 0:00 - Introduction 8:14 - Course information 11:33 - Why deep learning? 14:48 - The perceptron 20:06 - Perceptron example 23:14 - From perceptrons to neural networks 29:34 - Applying neural networks 32:29 - Loss functions 35:12 - Training and gradient descent 40:25 - Backpropagation 44:05 - Setting the learning rate 48:09 - Batched gradient descent 51:25 - Regularization: dropout and early stopping 57:16 - Summary Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!! |
| Category | Science & Technology |
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