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TORRENT DETAILS

[FreeCoursesOnline.Me] Linkedin - PyTorch Essential Training Deep Learning

TORRENT SUMMARY

[FreeCoursesOnline.Me] Linkedin - PyTorch Essential Training Deep Learning

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Size

241.4 MB in 34 files

Release Date(s)

Torrent Release: 13-10-2019 by user

Infohash

39a4b379cc5e49e69fba41aec02680d694a9e9b4

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DESCRIPTION

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Forum for discussion >>> https://1hack.us/

Author : Jonathan Fernandes
Language : English
Released : October 3, 2019
Duration : 56m 3s
Skill Level : Intermediate
Course Source : https://www.linkedin.com/learning/pytorch-essential-training-deep-learning

Description :

PyTorch is quickly becoming one of the most popular deep learning frameworks around, as well as a must-have skill in your artificial intelligence tool kit. It's gained admiration from industry leaders due to its deep integration with Python; its integration with top cloud platforms, including Amazon SageMaker and Google Cloud Platform; and its computational graphs that can be defined on the fly. In this course, join Jonathan Fernandes as he dives into the basics of deep learning using PyTorch. Starting with a working image recognition model, he shows how the different components fit and work in tandem—from tensors, loss functions, and autograd all the way to troubleshooting a PyTorch network.

Instructor :

Jonathan Fernandes

Data Scientist and Machine Learning/AI consultant at DXC Technology

What they do

• Software Developer
• Research Fellow
• Technology Manager

Where they work

• IBM
• Accenture
• US Army
• Tata Consultancy Services
• Infosys

Skills covered in this course

• Machine Learning
• Python (Programming Language)

VISITOR COMMENTS (0

)

FILE LIST

Filename		Size
	0. Websites you may like/How you can help Team-FTU.txt	237 B
	01 - Introduction/01 - Welcome.mp4	9.4 MB
	01 - Introduction/01 - Welcome.srt	1.6 KB
	01 - Introduction/02 - What you should know before watching this course.mp4	3.8 MB
	01 - Introduction/02 - What you should know before watching this course.srt	1.4 KB
	02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4	33.2 MB
	02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.srt	5.9 KB
	02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4	10.6 MB
	02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt	8.9 KB
	03 - Working with Classes and Tensors/01 - Classes.mp4	48.9 MB
	03 - Working with Classes and Tensors/01 - Classes.srt	6.2 KB
	03 - Working with Classes and Tensors/02 - Tensors.mp4	7.2 MB
	03 - Working with Classes and Tensors/02 - Tensors.srt	5.8 KB
	03 - Working with Classes and Tensors/03 - Training the network.mp4	5.7 MB
	03 - Working with Classes and Tensors/03 - Training the network.srt	5.5 KB
	04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4	41.4 MB
	04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt	8.3 KB
	04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4	10.8 MB
	04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.srt	7.1 KB
	04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4	8.9 MB
	04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.srt	5.9 KB
	04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4	2.9 MB
	04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.srt	3.5 KB
	04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4	10 MB
	04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.srt	5.4 KB
	05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4	11.5 MB
	05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.srt	7.6 KB
	05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4	14.8 MB
	05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt	9.1 KB
	05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4	7.8 MB
	05 - Troubleshooting and CPUGPU Usage/03 - Validation.srt	4.9 KB
	06 - Conclusion/01 - Future project ideas.mp4	14.4 MB
	06 - Conclusion/01 - Future project ideas.srt	3 KB
	Exercise Files/Ex_Files_PyTorch_EssT_DL.zip	51.8 KB

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