7:09Lab 01: Neural networks in PyTorch (FSDL 2022)
A 7-minute video from The Full Stack: “Lab 01: Neural networks in PyTorch (FSDL 2022)”.
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7:09
8:37Lab 02: PyTorch Lightning and Convolutional NNs (FSDL 2022)
A 9-minute video from The Full Stack: “Lab 02: PyTorch Lightning and Convolutional NNs (FSDL 2022)”.
10:44Lab 03: Transformers and Paragraphs (FSDL 2022)
A 11-minute video from The Full Stack: “Lab 03: Transformers and Paragraphs (FSDL 2022)”.
32:10Lab 04: Experiment Management (FSDL 2022)
A 32-minute video from The Full Stack: “Lab 04: Experiment Management (FSDL 2022)”.
29:15Lab 05: Troubleshooting & Testing (FSDL 2022)
A 29-minute video from The Full Stack: “Lab 05: Troubleshooting & Testing (FSDL 2022)”.
15:16Lab 06: Data Annotation (FSDL 2022)
A 15-minute video from The Full Stack: “Lab 06: Data Annotation (FSDL 2022)”.
31:03Lab 07: Web Deployment (FSDL 2022)
A 31-minute video from The Full Stack: “Lab 07: Web Deployment (FSDL 2022)”.
30:58Lab 08: Monitoring (FSDL 2022)
A 31-minute video from The Full Stack: “Lab 08: Monitoring (FSDL 2022)”.
28:42Lab 1: Setup and Intro (Full Stack Deep Learning - Spring 2021)
A 29-minute video from The Full Stack: “Lab 1: Setup and Intro (Full Stack Deep Learning - Spring 2021)”.
24:32Lab 2: CNNs and Synthetic Data - Full Stack Deep Learning - Spring 2021
A 25-minute video from The Full Stack: “Lab 2: CNNs and Synthetic Data - Full Stack Deep Learning - Spring 2021”.
28:28Lab 3: RNNs (Full Stack Deep Learning - Spring 2021)
A 28-minute video from The Full Stack: “Lab 3: RNNs (Full Stack Deep Learning - Spring 2021)”.
10:36Lab 4: Transformers (Full Stack Deep Learning - Spring 2021)
A 11-minute video from The Full Stack: “Lab 4: Transformers (Full Stack Deep Learning - Spring 2021)”.
30:41Lab 5: Experiment Management (Full Stack Deep Learning - Spring 2021)
A 31-minute video from The Full Stack: “Lab 5: Experiment Management (Full Stack Deep Learning - Spring 2021)”.
5:06Lab 6: Data Labeling (Full Stack Deep Learning - Spring 2021)
A 5-minute video from The Full Stack: “Lab 6: Data Labeling (Full Stack Deep Learning - Spring 2021)”.
18:40Lab 7: Paragraph Recognition (Full Stack Deep Learning - Spring 2021)
A 19-minute video from The Full Stack: “Lab 7: Paragraph Recognition (Full Stack Deep Learning - Spring 2021)”.
13:26Lab 8: Testing and Continuous Integration (Full Stack Deep Learning - Spring 2021)
A 13-minute video from The Full Stack: “Lab 8: Testing and Continuous Integration (Full Stack Deep Learning - Spring 2021)”.
20:26Lab 9: Web Deployment (Full Stack Deep Learning - Spring 2021)
A 20-minute video from The Full Stack: “Lab 9: Web Deployment (Full Stack Deep Learning - Spring 2021)”.
13:17Lab Intro and Overview (FSDL 2022)
A 13-minute video from The Full Stack: “Lab Intro and Overview (FSDL 2022)”.
53:34Lecture 01: When to Use ML and Course Vision (FSDL 2022)
A 54-minute video from The Full Stack: “Lecture 01: When to Use ML and Course Vision (FSDL 2022)”.
51:52Lecture 02: Development Infrastructure & Tooling (FSDL 2022)
A 52-minute video from The Full Stack: “Lecture 02: Development Infrastructure & Tooling (FSDL 2022)”.
42:42Lecture 03: Troubleshooting & Testing (FSDL 2022)
A 43-minute video from The Full Stack: “Lecture 03: Troubleshooting & Testing (FSDL 2022)”.
34:53Lecture 04: Data Management (FSDL 2022)
A 35-minute video from The Full Stack: “Lecture 04: Data Management (FSDL 2022)”.
57:29Lecture 05: Deployment (FSDL 2022)
A 57-minute video from The Full Stack: “Lecture 05: Deployment (FSDL 2022)”.
1:05:18Lecture 06: Continual Learning (FSDL 2022)
A 65-minute video from The Full Stack: “Lecture 06: Continual Learning (FSDL 2022)”.
1:00:02Lecture 07: Foundation Models (FSDL 2022)
A 60-minute video from The Full Stack: “Lecture 07: Foundation Models (FSDL 2022)”.
1:25:02Lecture 09: Ethics (FSDL 2022)
A 85-minute video from The Full Stack: “Lecture 09: Ethics (FSDL 2022)”.
1:41:12Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)
A 101-minute video from The Full Stack: “Lecture 10: ML Testing & Explainability (Full Stack Deep Learning - Spring 2021)”.
53:26Lecture 11A: Deploying ML Models (Full Stack Deep Learning - Spring 2021)
A 53-minute video from The Full Stack: “Lecture 11A: Deploying ML Models (Full Stack Deep Learning - Spring 2021)”.
36:55Lecture 11B: Monitoring ML Models (Full Stack Deep Learning - Spring 2021)
A 37-minute video from The Full Stack: “Lecture 11B: Monitoring ML Models (Full Stack Deep Learning - Spring 2021)”.
1:20:02Lecture 12: Research Directions (Full Stack Deep Learning - Spring 2021)
A 80-minute video from The Full Stack: “Lecture 12: Research Directions (Full Stack Deep Learning - Spring 2021)”.
58:14Lecture 13: ML Teams (Full Stack Deep Learning - Spring 2021)
A 58-minute video from The Full Stack: “Lecture 13: ML Teams (Full Stack Deep Learning - Spring 2021)”.
29:59Lecture 1: Deep Learning Fundamentals (Full Stack Deep Learning - Spring 2021)
A 30-minute video from The Full Stack: “Lecture 1: Deep Learning Fundamentals (Full Stack Deep Learning - Spring 2021)”.
38:51Lecture 2A: Convolutional Neural Networks (Full Stack Deep Learning - Spring 2021)
A 39-minute video from The Full Stack: “Lecture 2A: Convolutional Neural Networks (Full Stack Deep Learning - Spring 2021)”.
43:26Lecture 2B: Computer Vision Applications (Full Stack Deep Learning - Spring 2021)
A 43-minute video from The Full Stack: “Lecture 2B: Computer Vision Applications (Full Stack Deep Learning - Spring 2021)”.
1:06:11Lecture 3: Recurrent Neural Networks (Full Stack Deep Learning - Spring 2021)
A 66-minute video from The Full Stack: “Lecture 3: Recurrent Neural Networks (Full Stack Deep Learning - Spring 2021)”.
48:30Lecture 4: Transfer Learning and Transformers (Full Stack Deep Learning - Spring 2021)
A 48-minute video from The Full Stack: “Lecture 4: Transfer Learning and Transformers (Full Stack Deep Learning - Spring 2021)”.