Second Semester
Fri: 11:00 a.m. - 1:00 p.m., Aula 3
Fri: 2:00 p.m. - 4:00 p.m., Aula D8
Introduction [pdf]
Fundamentals: Artificial Neural Networks [pdf]
Flow Graphs and Automatic Differentiation [pdf]
Deep Networks [pdf]
Google Colab intro [pdf]
TensorFlow: Variables and Functions [ipynb]
Executing notebooks in Google Colab: please make sure to create a copy in your drive before usingLearning as Optimization [pdf]
Linear Regression [ipynb]
Apropos Randomization [ipynb]
Deep Convolutional Neural Networks [pdf]
Multinomial Logistic Regression (Softmax) [ipynb]
Convolutional Networks [ipynb]
Deep Convolutional Neural Networks and Beyond [pdf]
A Few Relevant Asides [pdf]
Transfer Learning [ipynb]
Deep Learning and Time Series [pdf]
Data Augmentation [ipynb]
Reinforcement Learning [pdf]
Object Detection: Inference [ipynb]
Deep Reinforcement Learning [pdf]
Importance Sampling [pdf]
DRL: Actor-Critic [ipynb]
Alpha Zero [pdf]
Marco Piastra
Contact: marco.piastra@unipv.it