deep-learning-v2-pytorch and Deep-Learning-Nanodegree
The second project is a student's personal repository of their work completed for the Deep Learning Nanodegree program, while the first project is the official Udacity repository providing the exercises and materials for the same nanodegree program, making them ecosystem siblings where B is an instance of a student's output based on A.
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
Covers CNN architectures (with layer visualization), RNNs for sequence modeling, GANs including CycleGAN for unpaired image translation, and transfer learning with pre-trained models like VGGNet. Built entirely in PyTorch with Jupyter notebooks, the material progresses from foundational gradient descent through advanced topics like attention mechanisms, style transfer, and AWS SageMaker deployment. Includes hands-on projects spanning computer vision (dog breed classification, face generation) and NLP (sentiment analysis, TV script generation with character-level RNNs).
About Deep-Learning-Nanodegree
pranavsuri/Deep-Learning-Nanodegree
This repo consists of the projects that I completed as a part of the Udacity's Deep Learning Nanodegree's curriculum.
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