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[UDACITY] PyTorch Scholarship Challenge - [FCO] GloDLS

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Name:[UDACITY] PyTorch Scholarship Challenge - [FCO] GloDLS
Description:


Learn how to build deep neural networks with PyTorch and use it to implement state-of-the-art AI applications.

Files Included: [166 WebRips (MP4) + Project Files (PDF, TXT, JPG, PY)]
Torrent Contains: 869 Files, 37 Folders
Course Source: https://in.udacity.com/facebook-pytorch-scholarship

Content:

Part 01 : Deep Learning with PyTorch
Module 01: Lessons
Lesson 01: Welcome to the Scholarship Challenge!
Welcome to the course! Here we'll get you oriented and set you up for success in this course.

Lesson 02: Introduction to Neural Networks
Learn the concepts behind how neural networks operate and how we train them using data.

Lesson 03: Talking PyTorch with Soumith Chintala
Hear from Soumith Chintala, the creator of PyTorch, about the past, present, and future of the PyTorch framework.

Lesson 04: Introduction to PyTorch
Learn how to use PyTorch to build and train deep neural networks. By the end of this lesson, you will build a network that can classify images of dogs and cats with state-of-the-art performance.

Lesson 05: Convolutional Neural Networks
Learn how to use convolutional neural networks to build state-of-the-art computer vision models.

Lesson 06: Style Transfer
Use a deep neural network to transfer the artistic style of one image onto another image.

Lesson 07: Recurrent Neural Networks
Learn how to use recurrent neural networks to learn from sequential data such as text. Build a network that can generate realistic text one letter at a time.

Lesson 08: Sentiment Prediction with RNNs
Here you'll build a recurrent neural network that can accurately predict the sentiment of movie reviews.

Lesson 09: Deploying PyTorch Models
In this lesson, we'll walk through a tutorial showing how to deploy PyTorch models with Torch Script.

Lesson 10: Challenge Project
Build and train a model that identifies flower species from images.

Lab - Final Challenge.




YouTube Video:
Category:Tutorials
Language:English  English
Total Size:1.09 GB
Info Hash:1587DB75E7DB855B82A7586DF9445C932385B4D4
Added By:Prom3th3uS Super AdministratorMovie PirateVIP
Date Added:2018-11-25 01:25:08
Torrent Status:Torrent Verified


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