deep-learning-v2-pytorch and Deep-Learning-ND-Exercises

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-ND-Exercises

nehal96/Deep-Learning-ND-Exercises

Notes and coding exercises from the various lessons in Udacity's Deep Learning Nanodegree Foundation