Part 1: Understanding Sequential vs. Functional API in Keras with a Simple Example When building neural networks in Keras, there are two main ways to define models: the Sequential API and the Functional API. In this post, we’ll explore the differences between these two approaches using a simple mathematical example. Sequential API The Sequential API in Keras is a linear stack of layers. It’s easy…

In our last blog on day 13 we explained what’s Karas and we showed a code example which was using sequential api but have not discuss about its api type . Sequential API The Sequential API is the simplest and most straightforward way to build a neural network in Keras. It allows you to create a model layer-by-layer in a linear stack. This method is best suited for models where each layer has one…

Understanding Keras and Its Role in Deep Learning Understanding Keras and Its Role in Deep Learning What is Keras? Keras is an open-source software library that provides a Python interface for artificial neural networks. It serves as a high-level API, simplifying the process of building and training deep learning models. Developed by François Chollet, a researcher at Google, Keras was first…