Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners!

Learn how to implement backpropagation using automatic differentiation from the ground up in Python—no libraries, just pure ...

This theory generalizes the cross-entropy method for backpropagation to the alpha-divergence method. This new method includes the cross-entropy method as a limited case study. An advantage is the ...

instead of whatever the algorithm happens to be pushing. After triple-checking to make sure they’re still available, he watches each, then writes his recommendation. Below we’ve collected ...

Abstract: The purpose of this research was to optimize the backpropagation algorithm process by adding the Nguyen-Widrow method in input layer of feed-forward process and adapting the learning rate ...

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

This project is about implementing a GAN(Generative Adversarial Network) using Keras and Tensorflow. The model is trained with a first 9 forms(0-8) of the CIFAR10 dataset with almost 1200-1500 epochs.