Diego Angelo Gaetano Reforgiato Recupero

DEEP LEARNING AND APPLICATIONS

From this URL you can download the lectures in pdf and material related to the current year.
11 March 2021

Recorded classes

Lecture 1
Lecture 2
Lecture 3
Lecture 4
Lecture 5
Lecture 6
Lecture 7
Lecture 8 (fatta il 30 marzo 2021 - purtroppo non e' venuta registrata)

 

 

Teaching Material

Book – Deep Learning with Python
Book – Deep Learning
Book – Learning Python powerful object-oriented programming
Deep Learning theory – link
Activation Functions – link
Fighting Overfitting in Deep Learning – link
Illustrated guide to LSTM and GRU – link
Code examples in Keras – link
Encoder-Decoder link
Attention Mechanism link1 link2 link3 link4
Toxicity with Attention link

 

Presentation 1 – Introduction of the Class (updated 2021)
Fundamentals – Fundamentals on Text Classification (updated 2021)


Program – Multi-class Classification of MNIST images (copy and paste on Colaboratory)
Program – Binary Classification of Movie reviews (copy and paste on Colaboratory)
Program – Multi-class Classification of Newswires (copy and paste on Colaboratory)
Program – Predicting house prices: a regression example (copy and paste on Colaboratory)
Program – Binary Classification of Movie reviews (Embedding) (copy and paste on Colaboratory)
Program – Binary Classification of Movie reviews (SimpleRNN) (copy and paste on Colaboratory)
Program - A temperature-forecasting problem (LSTM and GRU) (copy and paste on Colaboratory)
Program - Functional API implementation of a two-input question-answering model (copy and paste on Colaboratory)
Program - Toxicity detection with Attention (download the dataset and put it under a similar path and copy and paste on Colaboratory)
Program - Text Generation (copy and paste on Colaboratory)

Questionnaire and social

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