Deep Learning520 Videos

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15
00:45

Lightning Bits: Engineering for Researchers

In this series of short videos (10 min or less!) William Falcon & Sebastian Raschka teach you how to use IDEs, Git, the terminal, and more to make you more productive in your machine learning and AI research. Check out the full series at https://www.pytorchlightning.ai/edu/engineering-class. Source of this PyTorch Lightning Video
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19
10:07

Ep 02: The Terminal

Take a peek inside the computer as William and Sebastian explore the 8 top commands to get you started using the terminal. Episode show notes: https://github.com/PyTorchLightning/engineering-class/blob/master/ep02-terminal/Ep02-ShowNotes.md This video is part of the “Lightning Bits: Engineering for Researchers” series. Check out https://www.pytorchlightning.ai/edu/engineering-class for more content, show notes, and other information. For questions, don’t hesitate to reach […]
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42
06:22

Ep 01: Notebooks vs Python Projects

William and Sebastian discuss the pros and cons of Notebooks (as in Jupyter Notebooks) and Python Projects. Episode show notes: https://github.com/PyTorchLightning/engineering-class/blob/master/ep01-nbs-vs-projects/Ep01-ShowNotes.md This video is part of the “Lightning Bits: Engineering for Researchers” series. Check out https://www.pytorchlightning.ai/edu/engineering-class for more content, show notes, and other information. For questions, don’t hesitate to reach out to us on the […]
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1
29:46

PyTorch Lightning Live: Session 3 – Fault tolerance

Join the PyTorch Lightning team Rohit Gupta and Thomas Chaton discuss improvements made to Lightning’s Fault-tolerance training. We’ll talk about tracking optimization progress, improved support inside cloud instances, and support for consecutive `trainer.fit()` calls. Source of this PyTorch Lightning Video
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8
36:48

PyTorch Lightning Live: Session 2 – The Benefits of Bagua

In this stream, you’ll get a complete rundown on how to use Bagua with PyTorch Lightning. We’ll also cover some of Bagua’s biggest benefits, like speeding up your PyTorch! Here’s what’s coming up next in this 1.6 live release series via YouTube Live at 10 am EST 4/15/22 – Session 3 “Fault-tolerance” with Thomas Chaton […]
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15
48:33

PyTorch Lightning Live: Session 1 – Upgrade your Code to v1.6

Upgrade your Code to v1.6 In a series of four live streams, we’ll explore the highlights of the Lightning 1.6 release. In session 1, Rohit and Adrian walk you through the latest changes to accelerators, strategies, plugins, and other tips for upgrading your code to 1.6! Here’s what’s coming up next in this 1.6 live […]
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2
10:47

Recitation 0i | What to do if you're struggling

Carnegie Mellon University 11785 Introduction to Deep Learning | Spring 22 Slides link: https://drive.google.com/file/d/17o40LacH2ktTq8MtXGvMO-GSgRrj4Rql/view?usp=sharing Struggling with lectures/quizzes: 0:45 Struggling with HWs: 3:20 Overwhelmed in general: 7:39 YouTube Source for this AI Video
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0
05:51

Recitation 0b | Fundamentals of Numpy – Combining Data (7/8)

Carnegie Mellon University 11785 Introduction to Deep Learning | Spring 22 Colab Notebook Link: https://colab.research.google.com/drive/1gu2wsByxcxjsnTjXjwQcq7sXFx9RtX5h?usp=sharing Topics covered: 1. Concatenation: 0:13 2. Stacking: 1:58 3. Repeat: 3:36 YouTube Source for this AI Video
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1
07:22

Recitation 0b | Fundamentals of Numpy – Squeezing and Unsqueezing Arrays (6/8)

Carnegie Mellon University 11785 Introduction to Deep Learning | Spring 22 Notebook link: https://drive.google.com/file/d/110pc… Reference Material : Numpy User Guide https://numpy.org/doc/stable/user/ind… Squeezing Arrays • Squeeze Operation – 1:15 • Squeezing Along Multiple Axes – 2:52 • Squeezing Along Specified Axes – 3:37 Unsqueezing Arrays • Unsqueeze Operation – 5:01 • Unsqueezing Along Multiple Axes – […]
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3
06:48

Recitation 0b | Fundamentals of Numpy – Transposing Arrays (4/8)

Carnegie Mellon University 11785 Introduction to Deep Learning | Spring 22 Notebook link: https://drive.google.com/file/d/110pc… Reference Material : Numpy User Guide https://numpy.org/doc/stable/user/ind… Transposing Arrays • Transposing 2D Arrays – 0:34 • Transposing 3D Arrays – 1:35 • Transposing without Specifying Axes – 2:29 • Transpose Along Specified Axes – 4:15 Notebook Credits – F21 IDL-11785 TAs […]
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9
12:27

Recitation 0f | AWS (4/3) – Extra Tips

Connecting to AWS instances from VSCode Pem key permission configuration for Windows: https://superuser.com/questions/1296024/windows-ssh-permissions-for-private-key-are-too-open/1296046 Tmux cheatsheet: https://leimao.github.io/blog/Tmux-Tutorial/ YouTube Source for this AI Video
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3
07:40

Recitation 0b | Fundamentals of NumPy – Math Operations (8/8)

Carnegie Mellon University 11785 Introduction to Deep Learning | Spring 22 Colab Notebook Link: https://colab.research.google.com/drive/1gu2wsByxcxjsnTjXjwQcq7sXFx9RtX5h?usp=sharing Topics covered: 1. Broadcasting: 0:21 2. Element-wise operations: 1:12 3. Reduction: 3:01 4. Comparison: 3:58 5. Vector/Matrix operations: 4:56 YouTube Source for this AI Video
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10
34:35

PyTorch Lightning – Fault Tolerant Dive In

Lightning Research Engineering Manager, Thomas Chaton, and Anton Schwaighofer, Machine Learning Engineer for Healthcare at Microsoft Research, dive into Fault Tolerance with PyTorch Lightning. Source of this PyTorch Lightning Video