Visual Studio Magazine

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch

A typical "2" digit from the training data is displayed. Next, the demo trains a GAN model using the 380 images. The demo finishes by using the trained GAN to generate a synthetic "2 "image. [Click on ...
InfoWorld

Deep learning frameworks: PyTorch vs. TensorFlow

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...
Visual Studio Magazine

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch

Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can be used to generate synthetic data for machine learning scenarios, such as generating ...