deep-learning-v2-pytorch
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udacity
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Why you multiply the [sigmoid_prime(x) by x](https://github.com/udacity/deep-learning-v2-pytorch/blob/master/intro-neural-networks/student-admissions/StudentAdmissionsSolutions.ipynb?short_path=58b2af3#L102)? You defined backpropagation error as `(𝑦−𝑦̂)𝜎′(𝑥)` in the notebook: Your solution: ``` def error_term_formula(x, y, output): # for binary cross entropy loss return...
The MNIST exercise notebook contains an outdated link to the torchvision datasets documentation. I've updated this link to point to the new location of that documentation.
hey I'm learning nano degree "intro-to-pytorch" part. I notice some small problem in file "Part 2 - Neural Networks in PyTorch (Exercises)-chinese.ipynb" but didn't find it in the repo. Is...
Description: This PR improves the repository organization to create a better learning experience. ## Changes Made - Created numbered sections for clear learning progression * 1-Introduction to Neural Networks *...
