Hyperparameter Tuning with Keras Tuner _ Day 17

A Comprehensive Guide to Hyperparameter Tuning with Keras Tuner Introduction In the world of machine learning, the performance of your model can heavily depend on the choice of hyperparameters. Hyperparameter tuning, the process of finding the optimal settings for these parameters, can be time-consuming and complex. This guide will walk you through the essentials of hyperparameter tuning using Keras Tuner, helping you build more efficient and effective models. Why Hyperparameter Tuning Matters Hyperparameters are critical settings that can influence the performance of your machine learning models. These include the learning rate, the number of layers in a neural network, the...

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Sequential vs Functional Keras API Part 2 explanation _ Day 15

Keras API Example Let’s continue from day 14 which we explained the 3 Keras API types and compare them 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 to use but limited to single-input, single-output stacks of layers. Here’s a simple example to illustrate how it...

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