42:5323 - Model Deployment
A 43-minute video from Deep Learning Systems Course: “23 - Model Deployment”.
Deep Learning Systems Course
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42:53
36:3724 - Machine Learning Compilation and Deployment Implementation
A 37-minute video from Deep Learning Systems Course: “24 - Machine Learning Compilation and Deployment Implementation”.
1:08:31Lecture 10 - Convolutional Networks
A 69-minute video from Deep Learning Systems Course: “Lecture 10 - Convolutional Networks”.
45:22Lecture 11 - Hardware Acceleration
A 45-minute video from Deep Learning Systems Course: “Lecture 11 - Hardware Acceleration”.
50:09Lecture 13 - Hardware Acceleration Implemention
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1:19:42Lecture 14 - Implementing Convolutions
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46:37Lecture 15 - Training Large Models
A 47-minute video from Deep Learning Systems Course: “Lecture 15 - Training Large Models”.
38:05Lecture 16 - Generative Adversarial Networks
A 38-minute video from Deep Learning Systems Course: “Lecture 16 - Generative Adversarial Networks”.
35:26Lecture 17 - Generative Adversarial Networks Implementation
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1:10:48Lecture 18 - Sequence Modeling and Recurrent Networks
A 71-minute video from Deep Learning Systems Course: “Lecture 18 - Sequence Modeling and Recurrent Networks”.
54:34Lecture 19 - RNN Implementation
A 55-minute video from Deep Learning Systems Course: “Lecture 19 - RNN Implementation”.
1:20:01Lecture 2 - ML Refresher / Softmax Regression
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1:10:16Lecture 20 - Transformers and Attention
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1:01:13Lecture 21 - Transformer Implementation
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53:39Lecture 3 (Part I) - "Manual" Neural Networks
A 54-minute video from Deep Learning Systems Course: “Lecture 3 (Part I) - "Manual" Neural Networks”.
47:41Lecture 3 (Part II) - "Manual" Neural Networks
A 48-minute video from Deep Learning Systems Course: “Lecture 3 (Part II) - "Manual" Neural Networks”.
1:03:35Lecture 4 - Automatic Differentiation
A 64-minute video from Deep Learning Systems Course: “Lecture 4 - Automatic Differentiation”.
1:05:57Lecture 5 - Automatic Differentiation Implementation
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1:26:56Lecture 6 - Fully connected networks, optimization, initialization
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59:59Lecture 7 - Neural Network Abstractions
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55:49Lecture 8 - Neural Network Library Implementation
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1:19:30Lecture 9 - Normalization and Regularization
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