Content:

1. A brief history of AI
2. Deep neural networks (DNN)
   1. Artificial neurons
   2. Activation functions
   3. Multilayer perceptron
   4. Backpropagation algorithm
   5. DNN practice
3. Convolutional neural network (CNN)
   1. Principle
   2. Convolution layers
   3. Pooling layers
   4. CNN practice

References:

• Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016), Deep learning, MIT Press
• François Chollet (2021), Deep learning with Python, Manning