Course 1
Week 2
- Python Basics with numpy (optional), a very simple PA about numpy and vectorization.
- Logistic Regression with a Neural Network mindset
Week 3
- Planar data classification with a hidden layer
Week 4
- Building your deep neural network: Step by Step
- Deep Neural Network Application
Course 2
Week 1
- Initialization
- Regularization
- Gradient Checking
Week 2
- Optimization
Week 3
- Tensorflow
There are no programming assignments in Course 3.
Course 4
Week 1
- Convolutional Model: step by step
- Convolutional model: application
Week 2
- Keras Tutorial (not graded)
- Residual Networks
Week 3
- Car detection with YOLO
Week 4
- Art generation with Neural Style Transfer
- Face Recognition
Course 5
Week 1
- Building a recurrent neural network - step by step
- Dinosaur Island - Character-Level Language Modeling
- Jazz improvisation with LSTM
Week 2
- Operations on word vectors - Debiasing
- Emojify
Week 3
- Neural Machine Translation with Attention
- Trigger word detection
