filmov
tv
MIT Introduction to Deep Learning (2023) | 6.S191
Показать описание
MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
2023 Edition
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!!
Foundations of Deep Learning
Lecturer: Alexander Amini
2023 Edition
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!!
1:09:58
MIT Introduction to Deep Learning | 6.S191
0:58:12
MIT Introduction to Deep Learning (2023) | 6.S191
0:49:01
MIT Introduction to Deep Learning (2022) | 6.S191
1:01:31
MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
0:01:50
Barack Obama: Intro to Deep Learning | MIT 6.S191
0:52:52
MIT 6.S191 (2020): Introduction to Deep Learning
0:05:48
Advice for machine learning beginners | Andrej Karpathy and Lex Fridman
1:08:06
Deep Learning Basics: Introduction and Overview
0:18:40
But what is a neural network? | Chapter 1, Deep learning
0:05:52
Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn
1:31:29
MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
0:51:31
11. Introduction to Machine Learning
0:02:43
PyTorch in 100 Seconds
1:02:50
MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention
0:07:05
How I’d learn ML in 2024 (if I could start over)
0:59:52
MIT 6.S191 (2023): Deep Generative Modeling
1:07:58
MIT 6.S191: Convolutional Neural Networks
0:07:50
Machine Learning vs Deep Learning
0:54:57
MIT 6.S191: Building AI Models in the Wild
0:56:19
MIT 6.S191: Deep Generative Modeling
1:00:19
MIT 6.S191: Reinforcement Learning
0:55:15
MIT 6.S191 (2023): Convolutional Neural Networks
0:53:50
MIT 6.S191 (2023): Robust and Trustworthy Deep Learning
0:57:33
MIT 6.S191 (2023): Reinforcement Learning
Комментарии