Download PYTORCH ESSENTIAL TRAINING: DEEP LEARNING (MRKILLER) torrent

PYTORCH ESSENTIAL TRAINING: DEEP LEARNING (MRKILLER)

Torrent:	PYTORCH ESSENTIAL TRAINING: DEEP LEARNING (MRKILLER)
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.
Downloads:	128
Category:	Other /E-Books
Size:	241.4 MB
Show Files »	Linkedin - PyTorch Essential Training Deep Learning 0. Websites you may like 3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url (0.2 KB) How you can help Team-FTU.txt (0.2 KB) 4. (FTUApps.com) Download Cracked Developers Applications For Free.url (0.2 KB) 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url (0.3 KB) 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url (0.3 KB) 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url (0.4 KB) 01 - Introduction 02 - What you should know before watching this course.srt (1.4 KB) 01 - Welcome.srt (1.6 KB) 02 - What you should know before watching this course.mp4 (3.8 MB) 01 - Welcome.mp4 (9.4 MB) 06 - Conclusion 01 - Future project ideas.srt (3.0 KB) 01 - Future project ideas.mp4 (14.4 MB) 04 - Working with Loss, Autograd, and Optimizers 04 - Optimizers.srt (3.5 KB) 05 - Using optimizers.srt (5.4 KB) 03 - Autograd with tensors.srt (5.9 KB) 02 - Autograd.srt (7.1 KB) 01 - Loss.srt (8.3 KB) 04 - Optimizers.mp4 (2.9 MB) 03 - Autograd with tensors.mp4 (8.9 MB) 05 - Using optimizers.mp4 (10.0 MB) 02 - Autograd.mp4 (10.8 MB) 01 - Loss.mp4 (41.4 MB) 05 - Troubleshooting and CPUGPU Usage 03 - Validation.srt (4.9 KB) 01 - Troubleshooting.srt (7.6 KB) 02 - CPU to GPU.srt (9.1 KB) 03 - Validation.mp4 (7.8 MB) 01 - Troubleshooting.mp4 (11.5 MB) 02 - CPU to GPU.mp4 (14.8 MB) 03 - Working with Classes and Tensors 03 - Training the network.srt (5.5 KB) 02 - Tensors.srt (5.8 KB) 01 - Classes.srt (6.2 KB) 03 - Training the network.mp4 (5.7 MB) 02 - Tensors.mp4 (7.2 MB) 01 - Classes.mp4 (48.9 MB) 02 - Fashion MNIST and Neural Networks 01 - Working with the Fashion MNIST dataset.srt (5.9 KB) 02 - Neural network intuition.srt (8.9 KB) 02 - Neural network intuition.mp4 (10.6 MB) 01 - Working with the Fashion MNIST dataset.mp4 (33.2 MB) files
Added:	2019-10-24 11:04:30
Language:	English
Peers:	Seeders : 9 , Leechers : 2
Tags:	Essential training
Release name:	PYTORCH ESSENTIAL TRAINING: DEEP LEARNING (MRKILLER)
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