Image Compression Using Autoencoders in Keras
In this tutorial we cover a thorough introduction to autoencoders and how to use them for image compression in Keras.
5 years ago
Deep Learning
Understanding GauGAN Part 2: Training on Custom Datasets
In this article we cover how to train GauGAN on your own custom dataset. This is part of a series on Nvidia GauGANs.
5 years ago
Understanding GauGAN Part 1: Unraveling Nvidia's Landscape Painting GANs
In this article we explain what GauGANs are, and how their architecture and objective functions work. This is part of a series on Nvidia GauGANs.
5 years ago
A 2020 Guide to Synthetic Media
From deepfakes and virtual celebrities to "fake news," we'll cover popular cases of media synthesis and the research publications detailing how it's done.
5 years ago
Deploying Deep Learning Models Part 2: Hosting on Paperspace
In part two of deploying deep learning models, learn how to host on Paperspace.
By
Vihar Kurama
Deploying Deep Learning Models Part 1: Preparing the Model
In this tutorial we'll see how you can take your work and give it an audience by deploying your projects on the web
By
Vihar Kurama
Implementing CycleGAN for Age Conversion
In this tutorial we'll train CycleGAN with Keras to generate images which age a subject's face, either forwards or backwards.
5 years ago
Why PyTorch Is the Deep Learning Framework of the Future
An introduction to PyTorch, what makes it so advantageous, and how PyTorch compares to TensorFlow and Scikit-Learn. Then we'll look at how to use PyTorch by building a linear regression model and using it to make predictions.
By
Dhiraj K
DeepFake Faceoff w/ Dr. Fakenstein & CtrlShiftFace
Deepfake technology is unlocking a new era of media production. As with all technologies, both positive and harmful use cases exist. As ethical technologists, we aspire to push the limits of what is possible, while minding the impact of the tools we create.
By
John
