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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.py
  • 02_multilayer_perceptron.py
  • 03_sup_sl_feedforward_sgd_mbgd_bgd.py
  • 04_fc_denoising_autoenc_mnist.ipynb
  • 05_fc_autoenc_compression_layers.ipynb
  • 06_cnn_catdog.ipynb
  • 07_rnn_wordseq.ipynb
  • 08_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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