Inside-Deep-Learning

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Custom Dataset class on Chapter_1

9

Hi, I was getting the followed erro when I executing this code: ```py from torch.utils.data import Dataset from sklearn.datasets import fetch_openml X, y = fetch_openml("mnist_784", version=1, return_X_y=True) class SimpleDataset(Dataset): def...

LucianoBatista

AttributeError in Chapter_2.ipynb

1

Hi, when executing the 2nd cell: ``` python import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import * from idlmam import * ``` I get this...

gustavovelascoh

Update Chapter_4.ipynb

2

Change pakced in packed

galleon

Error in Chapter_6.ipynb

3

When running in colab (using GPU) I got the following error in cell: ``` rnn_3layer = nn.Sequential( #Simple old style RNN EmbeddingPackable(nn.Embedding(len(all_letters), 64)), #(B, T) -> (B, T, D) nn.RNN(64,...

galleon

Replacing `self.num_driections` by `self.num_directions`

galleon

Hi, Thanks for the examples. I think it would make sense to add the following to the notebooks: ``` from google.colab import drive drive.mount('/content/drive') ``` and ``` # Here you...

galleon

Chapter_6.ipynb wrong test data

1

`test_data = torchvision.datasets.FashionMNIST("./", train=True, transform=transforms.ToTensor(), download=True)` should use `train=False` This changes the figures in this chapter significantly.

DataScienceUWL

 this RNN output dim should be (B,T,D)->((B,T,hidden_nodes),(S,B,hidden_nodes)) accounting to docs  this shoud be

bigmisspanda

 I think the new result shape is C out,W,H  I think Conv3d does Batch, Channels, Width, Height, Depth

bigmisspanda

typos and suggestions

1

Figure 6.2: the 4th "high complexity" function figure is not a function because the figure suggests that a particular x value can map to multiple distinct y values. Section 6.3.2:...

andrenguyen