Course content
- Introduction and Perceptron
- Matrix Mathematics
- Activation Functions
- Information Theory and Cross Entropy
- Calculus and Backpropagation
- The Neural Network Engine
- Training the Neural Network
- Epochs, Batches and Multithreading
- Loading MNIST Images
- Putting It All Together
- Conclusion