Deep Learning – COSC2779 – Deep Learning Hardware and software Deep Learning – COSC2779 Deep Learning Hardware and software Dr. Ruwan Tennakoon July 26, 2021 Lecture 2 (Part 2) Deep Learning – COSC2779 July 26, 2021 1 / 19 Why Now? Big Data Larger Data sets. Easier collection and storage. Computation Graphic Processing Units. Massively […]
Tutorial Questions | Week 6 COSC2779 – Deep Learning This tutorial is aimed at reviewing famous CNN architectures. Please try the questions before you join the session. 1. The GoogLeNet uses inception modules as the basic building block. (a) Why does inception module have multiple paths? (b) The following diagram shows a variant of the
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Deep Learning – COSC2779 – Introduction to Deep Learning Deep Learning – COSC2779 Introduction to Deep Learning Dr. Ruwan Tennakoon July 19, 2021 Lecture 1 (Part 1) Deep Learning – COSC2779 July 19, 2021 1 / 16 Outline 1 Introduction: Teaching Team 2 Course Overview 3 Introduction to Deep Learning 4 Review of Machine Learning
Lab Exercises | Week 1 COSC2779 – Deep Learning 1 Introduction In this weeks lab, we will explore deep learning infrastructure that will be used during the course. The main cloud based platforms we will be using are: • Google Colab • (optional) Kaggle Notebooks GPU The following text will provide an introduction on setting
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Deep Learning – COSC2779 – Regularization Deep Learning – COSC2779 Regularization Dr. Ruwan Tennakoon August 2, 2021 Reference: Chapter 7: Ian Goodfellow et. al., “Deep Learning”, MIT Press, 2016. Lecture 3 (Part 2) Deep Learning – COSC2779 August 2, 2021 1 / 13 Generalization Gap Image: Goodfellow, 2016. Simpler functions are more likely to generalize,
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Tutorial Questions | Week 4 COSC2779 – Deep Learning This tutorial is aimed at reviewing optimization techniques and regularization in deep learning. Please try the questions before you join the session. 1. Calculate the gradient update for the neural network below with given initialized weights, if the input data point is x = [1, 2]
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Tutorial Questions | Week 5 COSC2779 – Deep Learning This tutorial is aimed at reviewing convolutions in deep learning. Please try the questions before you join the session. 1. What is the output of the following convolution operation? 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 1 5
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Tutorial Questions | Week 5 COSC2779 – Deep Learning This tutorial is aimed at reviewing convolutions in deep learning. Please try the questions before you join the session. 1. What is the output of the following convolution operation? 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 1 5
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Tutorial Questions | Week 7 COSC2779 – Deep Learning This tutorial is aimed at reviewing practical methodology in developing CNN. Please try the questions before you join the session. The question below has similar structure to the case study questions that you can expect in the end semester test. 1. You have been hired by
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Deep Learning (COSC 2779) – Assignment 1 – 2021 () [Remove this text from the report]: Max page limit: 3 pages. Font for text: 10pt “Times New Roman”. Font for headings: 12pt, bold face “Times New Roman”. Line spacing 1.15. Margins: Normal 2.54cm on all sides. The following headings are example only. You may change
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