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[FreeCourseSite.com] Udemy - PyTorch For Deep Learning In 2023 Zero To Mastery

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	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	aa903d0091c7b89352f43773cccd1d86586998e3
Size:	29.7 GB in 96 files
Release Date(s):	Torrent Release: 04-10-2023 by user
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Udemy - PyTorch for Deep Learning in 2023: Zero to Mastery

PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today’s Artificial Intelligence (AI) applications.

Created by Andrei Neagoie, Daniel Bourke, Zero To Mastery
Last updated 6/2023
English
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FILE LIST

Filename		Size
	1. Introduction/1. PyTorch for Deep Learning.mp4	75.3 MB
	1. Introduction/1. PyTorch for Deep Learning.srt	5.2 KB
	1. Introduction/2. Course Welcome and What Is Deep Learning.mp4	39 MB
	1. Introduction/2. Course Welcome and What Is Deep Learning.srt	8.6 KB
	1. Introduction/3. Join Our Online Classroom!.mp4	75.3 MB
	1. Introduction/3. Join Our Online Classroom!.srt	6 KB
	1. Introduction/4. Exercise Meet Your Classmates + Instructor.html	3.8 KB
	1. Introduction/5. Free Course Book + Code Resources + Asking Questions + Getting Help.html	2.4 KB
	1. Introduction/6. ZTM Resources.mp4	44.6 MB
	1. Introduction/6. ZTM Resources.srt	6.3 KB
	1. Introduction/6.1 LinkedIn Group.html	102 B
	1. Introduction/6.2 zerotomastery.io.html	86 B
	1. Introduction/6.3 ZTM Youtube.html	99 B
	1. Introduction/7. Machine Learning + Python Monthly Newsletters.html	2 KB
	10. PyTorch Paper Replicating/1. What Is a Machine Learning Research Paper.mp4	93.9 MB
	10. PyTorch Paper Replicating/1. What Is a Machine Learning Research Paper.srt	11.7 KB
	10. PyTorch Paper Replicating/10. Breaking Down Figure 1 of the ViT Paper.mp4	87.1 MB
	10. PyTorch Paper Replicating/10. Breaking Down Figure 1 of the ViT Paper.srt	16.9 KB
	10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.mp4	140.9 MB
	10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.srt	16.2 KB
	10. PyTorch Paper Replicating/12. Breaking Down Equation 1.mp4	103.2 MB
	10. PyTorch Paper Replicating/12. Breaking Down Equation 1.srt	12 KB
	10. PyTorch Paper Replicating/13. Breaking Down Equation 2 and 3.mp4	125 MB
	10. PyTorch Paper Replicating/13. Breaking Down Equation 2 and 3.srt	14.8 KB
	10. PyTorch Paper Replicating/14. Breaking Down Equation 4.mp4	92.4 MB
	10. PyTorch Paper Replicating/14. Breaking Down Equation 4.srt	10.1 KB
	10. PyTorch Paper Replicating/15. Breaking Down Table 1.mp4	122.1 MB
	10. PyTorch Paper Replicating/15. Breaking Down Table 1.srt	15.1 KB
	10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4	160.6 MB
	10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.srt	20.6 KB
	10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).mp4	150.2 MB
	10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).srt	20.3 KB
	10. PyTorch Paper Replicating/18. Turning a Single Image into Patches (Part 2 Patching the Entire Image).mp4	130.7 MB
	10. PyTorch Paper Replicating/18. Turning a Single Image into Patches (Part 2 Patching the Entire Image).srt	16.2 KB
	10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.mp4	142.6 MB
	10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.srt	18.6 KB
	10. PyTorch Paper Replicating/2. Why Replicate a Machine Learning Research Paper.mp4	23.3 MB
	10. PyTorch Paper Replicating/2. Why Replicate a Machine Learning Research Paper.srt	4.9 KB
	10. PyTorch Paper Replicating/20. Exploring the Outputs of Our Convolutional Patch Embedding Layer.mp4	129.1 MB
	10. PyTorch Paper Replicating/20. Exploring the Outputs of Our Convolutional Patch Embedding Layer.srt	17.9 KB
	10. PyTorch Paper Replicating/21. Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.mp4	89.6 MB
	10. PyTorch Paper Replicating/21. Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.srt	13.2 KB
	10. PyTorch Paper Replicating/22. Visualizing a Single Sequence Vector of Patch Embeddings.mp4	50.4 MB
	10. PyTorch Paper Replicating/22. Visualizing a Single Sequence Vector of Patch Embeddings.srt	6.9 KB
	10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4	170 MB
	10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.srt	22.8 KB
	10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.mp4	132 MB
	10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.srt	17.5 KB
	10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.mp4	131.9 MB
	10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.srt	17.7 KB
	10. PyTorch Paper Replicating/26. Creating the Position Embedding.mp4	109.2 MB
	10. PyTorch Paper Replicating/26. Creating the Position Embedding.srt	16.7 KB
	10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.mp4	134.8 MB
	10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.srt	18.5 KB
	10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.mp4	144.1 MB
	10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.srt	21.6 KB
	10. PyTorch Paper Replicating/29. Equation 2 Layernorm Overview.mp4	111.7 MB
	10. PyTorch Paper Replicating/29. Equation 2 Layernorm Overview.srt	12.8 KB
	10. PyTorch Paper Replicating/3. Where Can You Find Machine Learning Research Papers and Code.mp4	110.8 MB
	10. PyTorch Paper Replicating/3. Where Can You Find Machine Learning Research Papers and Code.srt	13.3 KB
	10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4	163.9 MB
	10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.srt	20.8 KB
	10. PyTorch Paper Replicating/31. Checking the Inputs and Outputs of Equation.mp4	53.7 MB
	10. PyTorch Paper Replicating/31. Checking the Inputs and Outputs of Equation.srt	7.8 KB
	10. PyTorch Paper Replicating/32. Equation 3 Replication Overview.mp4	88.7 MB
	10. PyTorch Paper Replicating/32. Equation 3 Replication Overview.srt	12.2 KB
	10. PyTorch Paper Replicating/33. Turning Equation 3 into Code.mp4	107.1 MB
	10. PyTorch Paper Replicating/33. Turning Equation 3 into Code.srt	14.9 KB
	10. PyTorch Paper Replicating/34. Transformer Encoder Overview.mp4	82.9 MB
	10. PyTorch Paper Replicating/34. Transformer Encoder Overview.srt	10.8 KB
	10. PyTorch Paper Replicating/35. Combining equation 2 and 3 to Create the Transformer Encoder.mp4	84.9 MB
	10. PyTorch Paper Replicating/35. Combining equation 2 and 3 to Create the Transformer Encoder.srt	12.7 KB
	10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4	188.7 MB
	10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.srt	21.3 KB
	10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4	190.8 MB
	10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.srt	26.3 KB
	10. PyTorch Paper Replicating/38. Bringing Our Own Vision Transformer to Life - Part 2 The Forward Method.mp4	111.4 MB
	10. PyTorch Paper Replicating/38. Bringing Our Own Vision Transformer to Life - Part 2 The Forward Method.srt	14.9 KB
	10. PyTorch Paper Replicating/39. Getting a Visual Summary of Our Custom Vision Transformer.mp4	84.9 MB
	10. PyTorch Paper Replicating/39. Getting a Visual Summary of Our Custom Vision Transformer.srt	10.9 KB
	10. PyTorch Paper Replicating/4. What We Are Going to Cover.mp4	87.8 MB
	10. PyTorch Paper Replicating/4. What We Are Going to Cover.srt	13.1 KB
	10. PyTorch Paper Replicating/40. Creating a Loss Function and Optimizer from the ViT Paper.mp4	118.3 MB
	10. PyTorch Paper Replicating/40. Creating a Loss Function and Optimizer from the ViT Paper.srt	16.2 KB
	10. PyTorch Paper Replicating/41. Training our Custom ViT on Food Vision Mini.mp4	53.5 MB
	10. PyTorch Paper Replicating/41. Training our Custom ViT on Food Vision Mini.srt	7 KB
	10. PyTorch Paper Replicating/42. Discussing what Our Training Setup Is Missing.mp4	101.2 MB
	10. PyTorch Paper Replicating/42. Discussing what Our Training Setup Is Missing.srt	12.7 KB
	10. PyTorch Paper Replicating/43. Plotting a Loss Curve for Our ViT Model.mp4	63.4 MB
	10. PyTorch Paper Replicating/43. Plotting a Loss Curve for Our ViT Model.srt	8.7 KB
	10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4	164.7 MB
	10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.srt	19.9 KB
	10. PyTorch Paper Replicating/45. Preparing Data to Be Used with a Pretrained ViT.mp4	57.2 MB
	10. PyTorch Paper Replicating/45. Preparing Data to Be Used with a Pretrained ViT.srt	7.2 KB
	10. PyTorch Paper Replicating/46. Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.mp4	76.3 MB
	10. PyTorch Paper Replicating/46. Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.srt	10.3 KB

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