Exploring the New Features of Keras 3.0 with CNNs on Fashion MNIST In this post, we will explore the new features introduced in Keras 3.0, which was showcased at Google I/O 2024. We will also dive into a practical example of using Convolutional Neural Networks (CNNs) on the Fashion MNIST dataset, illustrating how to implement these updates effectively. Ref. https://blog.gopenai.com/tensorflow-vs-pytorch-vs-keras-9161988c19b9 What’s New in Keras 3.0? Keras 3.0 brings several improvements and updates that enhance the usability and performance of the library. Here are some of the key features: Pros of Keras 3.0 Updates: Integration with TensorFlow : Keras is now fully integrated with TensorFlow, allowing for better performance and streamlined workflows. This makes it easier to access the latest TensorFlow features while using Keras. Improved API : The updated API provides more clarity and consistency, making it easier for developers to implement models without extensive boilerplate code.…