How ov2294/deep-learning works
This is a collection of course practicals, not a connected application. The documented workflow is a sequence of hands-on deep-learning topics; the repository provides notebooks, but the available evidence does not establish calls or data flow between them. Practicals 06–12 and the heart dataset are present in the tree, but their contents and relationships are unknown.
Components 14
Network foundations
- Single-layer perceptron
DL_Practical_01.ipynb - Backpropagation
DL_Practical_02.ipynb - Activation functions
DL_Practical_03.ipynb
Training techniques
- Optimization comparison
DL_Practical_04.ipynb - Regularization
DL_Practical_05.ipynb - Optimization practice
OptimizatinTechniquesPractice.ipynb
Unspecified materials
- Practical 06
DL_Practical_06.ipynb - Practical 07
DL_Practical_07.ipynb - Practical 08
DL_Practical_08.ipynb - Practical 09
DL_Practical_09.ipynb - Practical 10
DL_Practical_10.ipynb - Practical 11
DL_Practical_11.ipynb - Practical 12
DL_Practical_12.ipynb - Heart dataset
heart.csv