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Introduction to Deep Learning Course

# Introduction to Deep Learning Course

# Course Description

In this one-day introductory workshop, you’ll learn the basics of deep learning by training and deploying neural networks.

# Learning Outcomes

By the end of this course, participants will be able to:

  • Implement common deep learning workflows using Tensorflow Keras framework.
  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
  • Deploy your neural networks to start solving real-world problems.

# Pre-requisites

  • Basic knowledge of the Python programming language.

# Schedule

  • 09:00-10:05 | 01: Introduction to Deep Learning
  • 10:05-10:15 | Break
  • 10:20-12:00 | 02: Neural Networks
  • 12:00-13:00 | Lunch
  • 13:00-13:45 | 03: Classification and Convolutional Neural Networks
  • 13:45-13:50 | Short break
  • 13:50-15:15 | 04: Refining the model
  • 15:15-15:30 | Break
  • 15:30-17:00
    • 05: Deployment & Transfer Learning
    • 06: DL in other fields & Wrapup

# Overview

Python Colab notebook

# 01: Introduction to Deep Learning

# Lab 01: Introduction to Tensorflow Keras

Python Colab notebook R Colab notebook

# 02: Neural networks

# Lab 02: Classifying images of clothing

Python Colab notebook R Colab notebook

# 03: Classification and Convolutional Neural Networks

# Lab 03: Image classification with CNNs

Python Colab notebook R Colab notebook

# 04: Refining the model

# Lab 04: Dogs & Cats with data augmentation

# 4a Without Data augmentation

Python Colab notebook R Colab notebook

# 4b With Data augmentation

Python Colab notebook R Colab notebook

# 05: Deployment & Transfer Learning

# Lab 05: Saving and Loading models

Python Colab notebook R Colab notebook

# Lab 06: Tensorflow hub and Transfer learning

Python Colab notebook R Colab notebook

# 06: DL in other fields

# Lab 07: Final exercise, flowers with data augmentation

Python Colab notebook

# Extra Lab 01: Text classification with RNN

Python Colab notebook

# Extra Lab 02: Handwritten digits generation with DCGAN

Python Colab notebook
- +
Introduction to Deep Learning Course

# Introduction to Deep Learning Course

# Course Description

In this one-day introductory workshop, you’ll learn the basics of deep learning by training and deploying neural networks.

# Learning Outcomes

By the end of this course, participants will be able to:

  • Implement common deep learning workflows using Tensorflow Keras framework.
  • Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.
  • Deploy your neural networks to start solving real-world problems.

# Pre-requisites

  • Basic knowledge of the Python programming language.

# Schedule

  • 09:00-10:05 | 01: Introduction to Deep Learning
  • 10:05-10:15 | Break
  • 10:20-12:00 | 02: Neural Networks
  • 12:00-13:00 | Lunch
  • 13:00-13:45 | 03: Classification and Convolutional Neural Networks
  • 13:45-13:50 | Short break
  • 13:50-15:15 | 04: Refining the model
  • 15:15-15:30 | Break
  • 15:30-17:00
    • 05: Deployment & Transfer Learning
    • 06: DL in other fields & Wrapup

# Overview

Python Colab notebook

# 01: Introduction to Deep Learning

# Lab 01: Introduction to Tensorflow Keras

Python Colab notebook R Colab notebook

# 02: Neural networks

# Lab 02: Classifying images of clothing

Python Colab notebook R Colab notebook

# 03: Classification and Convolutional Neural Networks

# Lab 03: Image classification with CNNs

Python Colab notebook R Colab notebook

# 04: Refining the model

# Lab 04: Dogs & Cats with data augmentation

# 4a Without Data augmentation

Python Colab notebook R Colab notebook

# 4b With Data augmentation

Python Colab notebook R Colab notebook

# 05: Deployment & Transfer Learning

# Lab 05: Saving and Loading models

Python Colab notebook R Colab notebook

# Lab 06: Tensorflow hub and Transfer learning

Python Colab notebook R Colab notebook

# 06: DL in other fields

# Lab 07: Final exercise, flowers with data augmentation

Python Colab notebook

# Extra Lab 01: Text classification with RNN

Python Colab notebook

# Extra Lab 02: Handwritten digits generation with DCGAN

Python Colab notebook
+ diff --git a/slides/index.html b/slides/index.html index 7268507..a2d9307 100644 --- a/slides/index.html +++ b/slides/index.html @@ -46,7 +46,7 @@

- Last update: 2024-02-15T17:24:52.219Z + Last update: 2024-02-15T17:30:51.177Z