dl-d2l 1.0.18

dl_d2l

dl_d2l

This repository contains PyTorch implementations of the Deep Learning book "Dive into Deep Learning" (D2L).
It provides code examples, tutorials, and exercises to help you learn deep learning concepts using PyTorch.

Installation

pip install -U dl_d2l

Code Examples

You can find the code examples in the dl_d2l package. Here is a simple example of how to use it:

from dl_d2l import d2l_torch as d2l

d2l.arange(4)

# enable_matplotlib_chinese
from dl_d2l.util import enable_matplotlib_chinese

enable_matplotlib_chinese()

# example plot with Chinese characters
import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(-10, 10, 100)
y = x

plt.plot(x, y)
plt.title("中文标题：y = x")
plt.xlabel("横轴（x）")
plt.ylabel("纵轴（y）")
plt.show()

# get_available_device
from dl_d2l import device_util

device = device_util.get_available_device()

print(f"Available device: {device}")

Build & upload to pypi (For Developers)

prerequirement: twine is installed. If not, run the following command to install it:

pip install -U twine

build and upload:

## package
python setup.py sdist

## upload
twine upload dist/*

D2L

For more information about the "Dive into Deep Learning" book, visit the official website.