Neural Networks From Scratch

Following a book and the YouTube-series on Neural Networks from Scratch by Sentdex's

I am taking this course to fill the blank spaces in my knowledge of Machine Learning and to get a better in-depth understanding of it as well.

Taken topics:

• Neurons & Dense Layers
• Activation Functions (Implemented: ReLU, Softmax, Sigmoid)
• Loss Functions (Implemented: Categorical & Binary Cross-Entropies)
• (Partial) Derivatives & Gradients
• Backpropagation
• Optimizers
• Validation
• L1 & L2 Regularization
• Dropout layers
• Regression