Hardware for Deep Learning

Hebrew Name: חומרה ללמידה עמוקה ובינה מלאכותית

BIU Course number: 83-954

Lecturer: Prof. Adam Teman

1. Introduction to Deep Learning

Section 1a: From AI to DL

Section 1b: Training Neural Networks

Supplementary Material:

2. Convolutional Neural Networks

Section 2a: CNN Basics

Section 1b: Famous CNN Examples

Supplementary Material:

3. Computing Convolutions

HW for DL: Part 3 – Computing Convolutions

Supplementary Material:

4. Reducing Complexity

Section 4a: Lightweight Models

Section 4b: Reducing Precision and Pruning

Supplementary Material:

5. The DL Acceleration Landscape

Section 5a: The Deep Learning Acceleration Landscape

(no video yet for Sections 5a and 5b)

Section 5b: The Deep Learning Software Stack

Section 5c: Specialized Research ASICs

Supplementary Material:

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