dsgiitr/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Jupyter NotebookApache-2.0
Issues
- 1
code clarification in Ch09_Modern_Convolutional_Networks Residual_Networks_(ResNet)
#124 opened by IANGECHUKI176 - 1
Saving figure with bounding boxes
#120 opened by Anytram - 1
- 1
14.1 Image Augmentation
#111 opened by shambhavicodes - 0
There's a bug in Ch10's “Implementation_of_Recurrent_Neural_Networks_from_Scratch”。
#110 opened by onbigion13 - 0
- 10
download_and_preprocess_data() does not work
#107 opened by ConnorSiXiong - 1
- 0
- 0
Wrong label at y axis
#100 opened by msank00 - 0
- 0
Why use np.asscalar nor item() to get scalar value?
#97 opened by ciuji - 1
Will you write NLP part of d2l in the future?
#96 opened by JonXia - 2
- 1
- 0
Automatic Differentiation
#91 opened by haoma7 - 5
ready for social attention?
#72 opened by soumith - 2
Optimization Algorithms (Ch. 12)
#70 opened by harshalmittal4 - 1
invalid syntax
#10 opened by saswatpp - 2
Implement `d2l.train_ch3()`
#4 opened by aksub99 - 1