Mastering Generative AI with PyTorch: Hands-on Experience

سرفصل های دوره

Hands-On Training in Generative Adversarial Networks: Create, Train, and Apply GANs with PyTorch

1 - Course Content & Info

1 -Content

1 -Source Codes & Data.zip

2 -Course Information

2 - Introduction GEN AI

1 -Definition and Scope

2 -Historical Concepts and Evolution

3 -Applications

4 -Generative Architectural Networks

3 - Generative Adversarial Network (GAN) Concepts

1 -Basics of Generative Adversarial Network (GAN)

2 -Frontend and Backend of Generative Adversarial Network (GAN)

4 - Basic Neural Network Concepts (Optional)

1 -Introduction to Google Colab Environment

2 -Basics of Neural Network-Part 1

3 -Basics of Neural Network-Part 2

4 -Basics of Neural Network-Part 3

5 -Basics of Neural Network-Part 4

6 -Basics of Long Short-Term Memory (LSTM)-Part1

7 -Basics of Long Short-Term Memory (LSTM)-Part2

8 -Basics of Convolutional Neural Network-Part1

9 -Basics of Convolutional Neural Network-Part2

10 -Basics of Convolutional Neural Network-Part3

11 -Basics of Convolutional Neural Network-Part4

12 -Basics of Convolutional Neural Network-Part5

13 -Introduction to Tensors-Part1

14 -Introduction to Tensors-Part2

15 -How to Install CUDA and Set GPU (If not using Colab)

5 - Project 1, Image Generation

1 -Data Preprocessing and Preparation-Part1

2 -Data Preprocessing and Preparation-Part2

3 -GenBlock Development

4 -Generator Development

5 -DisBlock Development

6 -Discriminator Development

7 -Models Initialization

8 -Develop Training Loop Data Preparation

9 -Develop Training Loop Train Discriminator

10 -Develop Training Loop Train Generator

11 -Visualization and Image Generation

6 - Project 2, Synthetic Time Series Data Generation

1 -Synthetic Data Generation Concept

2 -Data Preparation

2 -temperature data.csv

3 -Generator Development

4 -Discriminator Development

5 -Models Initialization

6 -Develop Training Loop Data Preparation

7 -Develop Training Loop Train Discriminator

8 -Develop Training Loop Train Generator

9 -Training Process Evaluation

10 -Generate Synthetic Data

7 - Project3, Conditional GANs Text to Image

1 -Conditional GANs Concept

2 -Data Preparation Part1

2 -imagelabels.zip

3 -Data Preparation Part2

4 -Data Preparation Part3

5 -Conditional Generator Development

6 -Conditional Discriminator Development

7 -Models Initialization

8 -Develop Training Loop Data Preparation

9 -Develop Training Loop Train Discriminator

10 -Develop Training Loop Train Generator

11 -Generate and Display Image Based on Users Input

8 - Project4, Conditional GANs Convolutional Layers

1 -Revising Conditional Generator

2 -Revising Conditional Discriminator & Training Loop

3 -Generate and Display Image

9 - Ethics in Gen AI

1 -Ethics in AI Models and Conclusion

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تولید کننده: Udemy