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
At the conclusion of the workshop, you will have an understanding of GANs and be able to:
Instructor introduction and environment setup
Image Creation Using Generative Adversarial Networks with TensorFlow
Train a generative adversarial network (GAN) to generate images
Analogous Image Generation Using CycleGAN
Translate an input image in one domain to an output image in another
Text-to-Image Using Deep Learning
Convert text to images using deep learning
Closing and Assessments
Test your understanding of the material and identify any gaps in knowledge
Sınıf eğitimlerimizi İstanbul, Ankara ve Londra ofislerimizde düzenlemekteyiz. Kurumunuza özel eğitimleri ise, dilediğiniz tarih ve lokasyonda organize edebiliriz.