Modular Layer Perceptron (MLP) in Sonnet: Advancing Neural Network Architectures

Introduction Modular Layer Perceptron (MLP) is a powerful and flexible neural network architecture that has gained significant traction in the field of deep learning. In this article, we’ll explore the implementation of MLP using Sonnet, a library built on top of TensorFlow that provides high-level abstractions for creating complex neural network architectures. We’ll delve into … Continue reading Modular Layer Perceptron (MLP) in Sonnet: Advancing Neural Network Architectures