Course in machine learning for students of Richelie Lyceum, which already consists from lectures:
- Introduction. Basics of Python.
- Functions in maths and Python.
- Derivative. Optimization.
- Simulated annealing. Libraries in Python.
- Partial derivative. Gradient descent.
- Feedforward neural network. Backpropagation.
- Training of a neural network.
- Recurrent neural network. Google Colaboratory.
Lectures 1-5 are about basics of Python, required calculus, and algorithms of optimization for different tasks. Lectures 6- are about neural networks and their applications.
All lectures are uploaded online on Youtube in playlist Artificial intelligence of Youtube channel Павел Виктор
- Find Jupyter notebook you want to download
- Click button "Raw", which opens raw code of Jupyter notebook
- Right-click with the mouse and choose "Save as" or just press "Ctrl+S"
- Delete .txt extension. Name of file should become "name.ipynb"
- Choose desired directory and save