udacity/deep-learning-v2-pytorch
A collection of Jupyter notebooks teaching deep learning concepts and implementations using PyTorch.
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This repository contains the course material for Udacity’s Deep Learning Nanodegree program, consisting of tutorial notebooks and project assignments. The tutorials walk through implementing gradient descent, building CNNs and RNNs for image and sequence classification, training GANs for generative tasks, and applying techniques like style transfer, weight initialization, and batch normalization. Students learn using PyTorch as the deep learning framework.
Frequently asked
- What is udacity/deep-learning-v2-pytorch?
- A collection of Jupyter notebooks teaching deep learning concepts and implementations using PyTorch.
- Is deep-learning-v2-pytorch open source?
- Yes — udacity/deep-learning-v2-pytorch is open source, released under the MIT license.
- What language is deep-learning-v2-pytorch written in?
- udacity/deep-learning-v2-pytorch is primarily written in Jupyter Notebook.
- How popular is deep-learning-v2-pytorch?
- udacity/deep-learning-v2-pytorch has 5.5k stars on GitHub.
- Where can I find deep-learning-v2-pytorch?
- udacity/deep-learning-v2-pytorch is on GitHub at https://github.com/udacity/deep-learning-v2-pytorch.