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Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Results 17 deep-learning-v2-pytorch issues
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trying to run the jupyter notebook, the kernel dies usually when matplotlib functions are called. have tried several suggested workarounds, issue remains.

Have a typo on the code. On the part of `#calculate and print avg test loss` Don't exist the variable "classes", looks that should be "class_total" instead. On for loop...

Hi, In code **https://github.com/udacity/deep-learning-v2-pytorch/blob/master/convolutional-neural-networks/mnist-mlp/mnist_mlp_solution_with_validation.ipynb** when we do validation and test result we should call model.eval(). Right? Specially because we have DropOut layers. BR, Pavel

Hello, for the "load image data" section, I nearly copy the code, but I always just get one image shown for both trainloader and testloader. Below is my code (sorry...

[ [Bike-sharing-dataset answer.zip](https://github.com/udacity/deep-learning-v2-pytorch/files/9556780/Bike-sharing-dataset.answer.zip) ](url) ![image](https://user-images.githubusercontent.com/113438527/189894265-5837601a-e721-418e-b930-20d3b5c6d7c6.png) [ ](url)

Under recurrent-neural-networks/char-rnn/Character_Level_RNN_Solution.ipynb: The `CharRNN` design is using a LSTM layer that is uni-directional however with a fully connected on top of the output sequence, it seems like the information from...

This commit addresses a type mismatch issue in the neural network training function. The one-hot encoded rank features in the training data were boolean values, which caused a UFuncTypeError when...

to get total average valid loss you divide by len(valid_loader) but for avaerage test loss you divide by len(test_loader.dataset). This does not seems correct. And also you are multiplying the...

I took it a long time ago and we used Keras and TF but I want to learn Pytorch now. Are the videos and curriculum mostly the same, just implementation...