Generating Images
Learn how we can generate images, what the possible methods are, and the challenges.
We'll cover the following
Before we jump into exploring GANs, let’s set the scene a little.
Neural network summarizes information!
Normally we use neural networks to reduce, distill, summarize information. The MNIST classifier is a good example of this. It takes 784 values as input and outputs 10 values, a much smaller number.
Get hands-on with 1400+ tech skills courses.