Paper-Implementation-Template
A simple implementation of LeNet5 for practice for the book "Pytorch Pocket Reference"
LeNet is abunch of convolution and linear layers with max pools.
Paper Link
Appreciation
- Lucidrains
- Agorians
Install
pip install lenet5
Usage
import torch
from lenet5 import LeNet5
x = torch.randn(1, 3, 32, 32)
model = LeNet5()
result = model(x)
print(result)
print(result.shape)
print(result.dtype)
Architecture
Todo
License
Citations
1 maintainer
Metadata
1 maintainer
Release files for lenet5 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lenet5-0.0.2.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lenet5-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / lenet5-0.0.2.tar.gz
| Download URL | lenet5-0.0.2.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
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Release files / lenet5-0.0.2-py3-none-any.whl
| Download URL | lenet5-0.0.2-py3-none-any.whl |
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| Size | 4.0 kB |
| Tags | Python 3 |
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