deep-learning-v2-pytorch and Deep-Learning-ND-Exercises
The two repositories are complements: one is the official course material for the Udacity Deep Learning Nanodegree, and the other provides supplementary notes and coding exercises for the same program.
About deep-learning-v2-pytorch
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
This collection of tutorials and projects teaches you how to build artificial intelligence models using PyTorch. You'll learn to process different kinds of data, from images to text, and create models that can classify items, generate new content, or predict patterns. This is for aspiring machine learning engineers, data scientists, and AI researchers who want hands-on experience in deep learning.
About Deep-Learning-ND-Exercises
nehal96/Deep-Learning-ND-Exercises
Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation
This resource provides comprehensive notes, coding exercises, and five practical projects from Udacity's Deep Learning Nanodegree Foundation. It takes users from foundational neural network concepts to advanced topics like recurrent neural networks and generative adversarial networks. Machine learning engineers and data scientists looking to solidify their understanding and build practical deep learning models would find this valuable.
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