Deep Learning

Instructor	Chaiwoot Boonyasiriwat
Class Hours	Friday, 1.00PM - 4.00PM
Grading	Homework assignment 45%, In-class assignments 15%, Project 40%
Online Learning	Join online class via WebEx

Tentative Course Schedule

Date	Topics	Video	In-class Assignments	Homework Assignments
Jan 15, 2021	Python: syntax, comments, variables, data types, numbers, casting, strings, booleans, operators, lists, tuples, sets, dictionaries, if-else, while, for, functions, lambda function, class, constructor, inheritance	View
Jan 22, 2021	Python: iterators, modules, math module, PIP, exception handling (try, except, finally), user input, NumPy, Pandas, Matplotlib, SciPy Code: introduction_to_python.ipynb	View	Submit
Jan 29, 2021	Introduction to machine learning, feed-forward neural networks (FNN), training FNN, automatic differentiation Slide: 01_machine_learning.pdf Code: regression1d.ipynb	Part 1, Part 2		Homework 1 Submit HW1
Feb 5, 2021	Neural networks, introduction to Keras and TensorFlow Slide: 02_neural_networks.pdf, 03_tensorflow_keras.pdf	View
Feb 12, 2021	No class
Feb 19, 2021	Gradient descent methods	View
Feb 26, 2021	No class
Mar 5, 2021	Convolutional neural networks (CNN)	View
Mar 12, 2021	Image classification using CNN Images: Download	View	Submit IC2
Mar 19, 2021	No class	View
Mar 26, 2021	Learning rate schedules, weight initializers, autoencoder Lab: speech recognition (sound_recording.ipynb), autoencoder	View	Submit IC3
Apr 2, 2021	Variational autoencoder
Apr 9, 2021	Generative adversarial networks (GAN)	View
Apr 16, 2021	Recurrent neural networks (RNNs), long short-term memory (LSTM), gated recurrent unit (GRU), embedding projector Lab: Time series prediction, Word embbedding	View	Submit IC4
Apr 23, 2021	Reinforcement learning faces.zip	View
Apr 30, 2021	TBA	View
May 7, 2021	TBA	View
May 19, 2021	Project presentation			Submit Project

References

• https://www.w3schools.com/python/default.asp
• https://www.tensorflow.org/tutorials
• Buduma, N., 2017, Fundamentals of Deep Learning, O'Reilly.
• Patanayak, S., 2017, Pro Deep Learning with TensorFlow, Apress.
• Atienza, R., 2018, Advanced Deep Learning with Keras, Packt Publishing.

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