Deep Learning for Digital Content Creation with GANs Eğitimi

  • Eğitim Tipi: Classroom / Virtual Classroom / Online
  • Süre: 1 Gün
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This workshop teaches deep learning techniques to design, train, and deploy neural networks for digital content creation through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to perform neural network training on a fully-configured, GPU-accelerated workstation in the cloud. The workshop teaches techniques for training a generative adversarial network (GAN) to generate images, convert text to images, and create analogous images from one theme to another. At the end of the workshop, you will be able to start creating digital assets using deep learning methods.

Basic familiarity with deep learning concepts, such as convolutional neural networks (CNNs); experience programming in Python

Learning Objectives

At the conclusion of the workshop, you will have an understanding of GANs and be able to:

  • Train a generative adversarial network (GAN) to generate images.
  • Translate an input image in one domain to an output image in another.
  • Convert text to images using deep learning.

Why Deep Learning Institute Hands-On Training?

  • Learn how to build deep learning and accelerated computing applications across a wide range of industry segments such as autonomous vehicles, digital content creation, finance, game development, and healthcare
  • Obtain guided hands-on experience using the most widely-used, industry-standard software, tools, and frameworks
  • Gain real-world expertise through content designed in collaboration with industry leaders including the Children’s Hospital Los Angeles, Mayo Clinic, and PwC
  • Earn NVIDIA DLI Certification to demonstrate your subject matter competency and support professional career growth
  • Access content anywhere, anytime with a fully-configured, GPU-accelerated workstation in the cloud

Certification :

  • Upon successful completion of the workshop, participants will receive NVIDIA DLI Certification to recognize subject matter competency and support professional career growth.

Introduction

  • Getting started

Instructor introduction and environment setup

Image Creation Using Generative Adversarial Networks with TensorFlow

  • Understand basic architecture of GANs
  • Generate handwritten numbers
  • Generate celebrity faces

Train a generative adversarial network (GAN) to generate images

Analogous Image Generation Using CycleGAN

  • Use image analogies to translate image to image
  • Create autoencoder architecture using encoder, transformer, and decoder
  • Employ PatchGAN discriminator to complete the generative adversarial network

Translate an input image in one domain to an output image in another

Text-to-Image Using Deep Learning

  • Introduction to PyTorch
  • Introduction to text encoder
  • Training of generator and discriminator

Convert text to images using deep learning

Closing and Assessments

  • Multiple-choice questions covering all three labs

Test your understanding of the material and identify any gaps in knowledge



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