Deep Learning with PyTorch : Generative Adversarial Network
- Offered byCoursera
- Public/Government Institute
Deep Learning with PyTorch : Generative Adversarial Network at Coursera Overview
Deep Learning with PyTorch : Generative Adversarial Network
at Coursera
Duration | 2 hours |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Deep Learning with PyTorch : Generative Adversarial Network
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Deep Learning with PyTorch : Generative Adversarial Network at Coursera Highlights
Deep Learning with PyTorch : Generative Adversarial Network
at Coursera
- Setup Google Runtime
- Configurations
- Load MNIST Handwritten Dataset
- Load Dataset into Batches
- Create Discriminator Network
- Create Generator Network
- Create Loss Function and Load Optimizers
- Training GAN
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Deep Learning with PyTorch : Generative Adversarial Network at Coursera Course details
Deep Learning with PyTorch : Generative Adversarial Network
at Coursera
Skills you will learn
What are the course deliverables?
- Create Discriminator and Generator Network
- Create a training loop to train GAN model
More about this course
- In this two hour project-based course, you will implement Deep Convolutional Generative Adversarial Network using PyTorch to generate handwritten digits. You will create a generator that will learn to generate images that look real and a discriminator that will learn to tell real images apart from fakes. This hands-on-project will provide you the detail information on how to implement such network and train to generate handwritten digit images.
- In order to be successful in this project, you will need to have a theoretical understanding on convolutional neural network and optimization algorithm like Adam or gradient descent. This project will focus more on the practical aspect of DCGAN and less on theoretical aspect.
- Note: This course works best for learners who are based in the North America region. We?re currently working on providing the same experience in other regions.
- SKILLS YOU WILL DEVELOP
- Convolutional Neural Network
- Python Programming
- Pytorch
- Genrative Adversarial Network
Deep Learning with PyTorch : Generative Adversarial Network at Coursera Curriculum
Deep Learning with PyTorch : Generative Adversarial Network
at Coursera
Setup Google Runtime
Configurations
Load MNIST Handwritten Dataset
Load Dataset into Batches
Create Discriminator Network
Create Generator Network
Create Loss Function and Load Optimizers
Training GAN
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Deep Learning with PyTorch : Generative Adversarial Network
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