Day 9 - Regularization Techniques for Neural Networks
Day 8 - Training a Neural Network: Forward and Backward Propagation
Day 7 - Loss Functions and Optimization Techniques
Day 6 - Activation Functions and Layer Types
Day 5 - Building a Basic Neural Network with TensorFlow and Keras
Day 4 - Exploring Popular Deep Learning Libraries (TensorFlow, Keras, PyTorch)
Day 3 - Understanding Data and Preprocessing
Day 2 - Setting up the Python Environment for Deep Learning
Day 1 - Introduction to Deep Learning and Neural Networks
Python Programming Standards and Modern Style