deep-learning-intro

🧠 Intro to Deep Learning Lecture

Materials and notes for "Introduction to AI" lectures at Distributed Lab.

📰 Content

Presentation in .pdf format can be found in the presentation.pdf file.

The training and testing is provided in the digit_recognition.ipynb file. Certain helper functions were used from the utils.py file.

If you want to see source materials for the presentation, see tex-source folder.

❔ I want to play around in the Jupyter Notebook: what do I do?

1. Install Anaconda Navigator
2. Create an environment with the required packages installed (it does not matter what versions you choose):

• TensorFlow
• Numpy
• Matplotlib

To install them via a single line, write

pip install -r requirements.txt

3. Open the digit_recognition.ipynb and play around however you want :)