Dive into a review of three foundational deep-learning architectures. Discover their key contributions, strengths, and how they paved the way for modern AI advancements.
This tutorial covers a step-by-step walkthrough of coding neural architecture search for multilayer perceptrons in Python with Keras.
With countless options to design neural networks, an effective architecture search algorithm would be game-changing. Here we look at the state of the art.
In this tutorial we'll cover how to use the Lambda layer in Keras to build, save, and load models which perform custom operations on your data.
In this tutorial we cover a thorough introduction to autoencoders and how to use them for image compression in Keras.
Learn to train a generative image model using Gradient° and then porting the model to ml5.js, so you can interact with it in the browser.
An look into how various activation functions like ReLU, PReLU, RReLU and ELU are used to address the vanishing gradient problem, and how to chose one amongst them for your network.
Learn how to use neural style transfer to swap faces in images.
By
Felipe Ducau
