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- Overview
- Introducing Neural Networks
- What are Neural Networks and Machine Learning
- Supervised, Unsupervised and Reinforced Learning
- Machine Learning & Black Box
- Feed Forward Neural Networks
- Supervised Learning: Training Sets and Validation Sets
- Conceptual Feed-Forward Neural Network
- Neurons and Transfer Function
- Common Transfer Functions
- Epochs
- Loss Functions, Training Diagnostics, and Machine Learning Systems
- Neural Network: Quantitative Variables
- Loss Functions, Epochs, and Computing Validation
- Neural Network Diagnostics
- Summary and Final Tasks
- FAQ Lesson 10