Welcome to this repository showcasing an example of building and training a neural network for classification tasks using TensorFlow and Keras. In this demonstration, we walk through the fundamental ...

Features File: Contains 16 features per image, specifically extracted for this task. Labels File: Contains the class labels for each image, with values ranging from 0 to 9. For more details on the ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

Derive the Equations for the Backpropagation for Softmax and Multi-class Classification. In this video, we will see the ...

Abstract: Softmax Classification algorithm is the generalization of Logistic classification algorithm on multi-classification problems. The traditional stand-alone training algorithm's efficiency is ...

Abstract: Deep neural networks enable real-time monitoring of in-vehicle drivers, facilitating the timely prediction of distractions, fatigue, and potential hazards. This technology is now integral to ...