A collection of Deep Learning practice notebooks
Project description
dlprac - Deep Learning Practice Files
A practical collection of deep learning practice files that includes both Python scripts (.py) and Jupyter notebooks (.ipynb).
Installation
Install the package using pip:
pip install dlprac
Usage
Download Practice Files
After installation, you can download all packaged practice files. The command creates a dlprac_files subfolder in the target location and stores all files there:
dlprac download
Or specify a custom destination:
dlprac download --dest my-files
This will create my-files/dlprac_files and place all packaged files inside it.
List Available Files
To see all available files without downloading:
dlprac download --list
Package Information
Get information about the package:
dlprac info
Packaged Contents
Current packaged files:
01_mcp.py02_multilayer_perceptron.py03_sup_sl_feedforward_sgd_mbgd_bgd.py04_fc_denoising_autoenc_mnist.ipynb05_fc_autoenc_compression_layers.ipynb06_cnn_catdog.ipynb07_rnn_wordseq.ipynb08_lstm_sentimentimdb.ipynb
Requirements
The practice files use common ML/DL libraries such as:
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
Install them separately:
pip install numpy pandas matplotlib seaborn scikit-learn jupyter
Python API
You can also use the package programmatically in Python:
import dlprac
# Get the path to packaged files
files_path = dlprac.get_notebooks_path()
# List all available packaged practice files
files = dlprac.list_notebooks()
for item in files:
print(item)
License
MIT License
Project details
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