[CS489] Lecture 1: Introduction to Deep Learning Published -- Download video MP4 360p Recommendations 58:12 MIT Introduction to Deep Learning | 6.S191 18:40 But what is a neural network? | Chapter 1, Deep learning 55:15 MIT 6.S191 (2023): Convolutional Neural Networks 20:18 Why Does Diffusion Work Better than Auto-Regression? 1:20:14 Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018) 15:04 How I'd Learn AI (If I Had to Start Over) 1:02:50 MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention 1:25:05 Build a Deep CNN Image Classifier with ANY Images 26:01 How to learn Machine Learning (ML/AI Roadmap 2024) 59:52 MIT 6.S191: Deep Generative Modeling 09:10 [CS489] Developing a face recognition system with FaceNet and TF2 26:46 [RIOTU Seminars] How to Write and Review References and Citations in Research Papers 59:32 Lecture 2 | Image Classification 33:23 Convolutional Neural Network from Scratch | Mathematics & Python Code 1:02:50 MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Similar videos 1:47:30 [CS489] Basics of neural networks 1:07:44 [CS489] Regularization 01: Challenges faced when training a deep neural network 1:22:44 Introduction to Deep Learning Lecture 4 33:58 [CS489] Deeper Neural Networks 1:03:09 [CS489] Convolutional Neural Networks: Basic Building Blocks 33:25 CS489: Lecture02 Introduction to Python 11:47 [CS489] Face Recognition 34:12 [CS489] Improving neural networks with regularization 1:01:10 [CS489] Convolutional Neural Networks: Case Studies and State-of-the-art Algorithms 04:52 CS upper year information session: CS489 Neural Networks 49:23 [CS489] Region-Based CNN Detectors 34:17 [CS489] Optimization algorithms 50:15 Introduction to Deep Learning Lecture 4 part2 52:39 Machine Learning 201: Deep Learning More results