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Deep Learning
  • Level Professional
  • Course by Illinois Tech
  • Offered by

About

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. AI is transforming many industries. The Deep Learning Specialization provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career. Along the way, you will also get career advice from deep learning experts from industry and academia.

Modules

Course Welcome

    • 2 Videos
    • 2 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Meet and Greet Discussion

2 Videos

  • Course Overview
  • Instructor Introduction

2 Readings

  • Course Overview
  • Syllabus

Module 1 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 1 Introduction

1 Readings

  • Module 1 Introduction

Lesson 1: Introduction to deep learning

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Introduction to Deep Learning Quiz

2 Videos

  • Deep Learning Applications - Part 1
  • Deep Learning Applications - Part 2

1 Readings

  • Deep Learning - Chapter 6.2, 6.4, 6.5

Lesson 2: Neural network

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Neural Network Quiz

2 Videos

  • Neural Network
  • Neural Network Continued

1 Readings

  • Deep Learning - Chapter 6.2, 6.4, 6.5

Lesson 3: Backpropagation

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Backpropagation Quiz

2 Videos

  • Backpropagation
  • Backpropagation Continued

1 Readings

  • Deep Learning - Chapter 6.2, 6.4, 6.5

Module 1 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 1 Summative Assessment

Module 1 Summary

    • 1 Readings
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1 Readings

  • Module 1 Summary

Module 2 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 2 Introduction

1 Readings

  • Module 2 Introduction

Lesson 1: CNN for images

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • CNN for Images Quiz

1 Videos

  • Convolutional Neural Network

1 Readings

  • ImageNet Classification with Deep Convolutional Neural Networks

Lesson 2: Convolution, pooling and other layers

    • 2 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Convolution, Pooling and Other Layers Quiz

2 Videos

  • CNN Convolution
  • CNN - Max Pooling

1 Readings

  • ImageNet Classification with Deep Convolutional Neural Networks

Lesson 3: CNN applications

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • CNN Applications Quiz

2 Videos

  • What Does CNN Learn
  • Applications of CNN

1 Readings

  • ImageNet Classification with Deep Convolutional Neural Networks

Module 2 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 2 Summative Assessment

Module 2 Summary

    • 1 Readings
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1 Readings

  • Module 2 Summary

Module 3 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 3 Introduction

1 Readings

  • Module 3 Introduction

Lesson 1: ReLU and Maxout

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • ReLU and Maxout Quiz

2 Videos

  • Tips for Deep Learning
  • ReLU

1 Readings

  • Maxout Networks

Lesson 2: RMSProp

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • RMSProp Quiz

2 Videos

  • Adaptive Learning Rate
  • Adaptive Learning Rate Continued

1 Readings

  • An overview of gradient descent optimization algorithms

Lesson 3: Early stopping and Regularization

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Early Stopping and Regularization Quiz

1 Videos

  • Early Stopping and Regularization

1 Readings

  • Deep Learning

Lesson 4: Dropout

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Dropout Quiz

1 Videos

  • Dropout

1 Readings

  • Dropout: A Simple Way to Prevent Neural Networks from Overfitting

Module 3 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 3 Summative Assessment

Module 3 Summary

    • 2 Readings
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2 Readings

  • Module 3 Summary
  • Insights from an Industry Leader: Learn More About Our Program

Module 4 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 4 Introduction

1 Readings

  • Module 4 Introduction

Lesson 1: Introduction to RNN

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Introduction to RNN Quiz

2 Videos

  • Recurrent Neural Network
  • RNN Architecture

1 Readings

  • Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

Lesson 2: Long Short-term Memory (LSTM)

    • 3 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Long Short-term Memory (LSTM) Quiz

3 Videos

  • LSTM - Part 1
  • LSTM - Part 2
  • LSTM Continued

1 Readings

  • Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

Lesson 3: Learning on RNN

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Learning on RNN Quiz

2 Videos

  • Learning on RNN
  • Helpful Techniques

1 Readings

  • Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network

Module 4 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 4 Summative Assessment

Module 4 Summary

    • 1 Readings
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1 Readings

  • Module 4 Summary

Module 5 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 5 Introduction

1 Readings

  • Module 5 Introduction

Lesson 1: GANs

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • GANs Quiz

2 Videos

  • Generative Adversarial Network - Part 1
  • Generative Adversarial Network - Part 2

1 Readings

  • Generative Adversarial Networks

Lesson 2: DMs

    • 4 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • DMs Quiz

4 Videos

  • Diffusion Model - Part 1
  • Diffusion Model - Part 2
  • Diffusion Model Continued - Part 1
  • Diffusion Model Continued - Part 2

1 Readings

  • Denoising Diffusion Probabilistic Models

Module 5 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 5 Summative Assessment

Module 5 Summary

    • 1 Readings
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1 Readings

  • Module 5 Summary

Module 6 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 6 Introduction

1 Readings

  • Module 6 Introduction

Lesson 1: Self-attention

    • 3 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Self-attention Quiz

3 Videos

  • Self-Attention
  • Self-Attention Continued
  • Self-Attention Continued

1 Readings

  • Attention Is All You Need

Lesson 2: Transformers

    • 4 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Transformers Quiz

4 Videos

  • Transformer - Part 1
  • Transformer - Part 2
  • Transformer Continued - Part 1
  • Transformer Continued - Part 2

1 Readings

  • Attention Is All You Need

Module 6 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 6 Summative Assessment

Module 6 Summary

    • 1 Readings
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1 Readings

  • Module 6 Summary

Module 7 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 7 Introduction

1 Readings

  • Module 7 Introduction

Lesson 1: Network Pruning

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Network Pruning Quiz

2 Videos

  • Network Pruning - Part 1
  • Network Pruning - Part 2

1 Readings

  • An Overview of Neural Network Compression

Lesson 2: Knowledge Distillation

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Knowledge Distillation Quiz

1 Videos

  • Knowledge Distillation

1 Readings

  • An Overview of Neural Network Compression

Lesson 3: Network Quantization

    • 3 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Network Quantization Quiz

3 Videos

  • Parameter Quantization
  • Architecture Design
  • Dynamic Computation

1 Readings

  • An Overview of Neural Network Compression

Module 7 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 7 Summative Assessment

Module 7 Summary

    • 1 Readings
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1 Readings

  • Module 7 Summary

Module 8 Introduction

    • 1 Videos
    • 1 Readings
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1 Videos

  • Module 8 Introduction

1 Readings

  • Module 8 Introduction

Lesson 1: Fine-tuning / multi-task learning

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Fine-Tuning / Multi-Task Learning Quiz

2 Videos

  • Transfer Learning Introduction and Find-tuning
  • Multitask Learning

1 Readings

  • Transfer Learning Guide

Lesson 2: Domain adversarial training

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Domain Adversarial Training Quiz

1 Videos

  • Domain-adversarial Training

1 Readings

  • Domain-Adversarial Training of Neural Networks

Lesson 3: Zero-shot learning

    • 2 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Zero-Shot Learning Quiz

2 Videos

  • Zero-shot Learning - Part 1
  • Zero-shot Learning - Part 2

1 Readings

  • Zero-Shot Learning

Module 8 Summative Assessment

    • 1 Assignment
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1 Assignment

  • Module 8 Summative Assessment

Module 8 Summary

    • 1 Readings
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1 Readings

  • Module 8 Summary

Summative Course Assessment

    • 1 Assignment
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1 Assignment

  • Summative Course Assessment
Yan Yan
Instructors

Yan Yan

Gady Agam
Instructors

Gady Agam