Seamlessly transform your Streamlit apps into standalone desktop applications. This library enables you to run your web-based Streamlit projects in native desktop windows, providing a polished and ...

Abstract: The present paper introduces a novel non-isolated high-gain DC-DC converter. In the new converter, the switched-capacitor (SC) method is utilized to achieve voltage gain. The major aim of ...

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Learn how to build the Adam optimizer from scratch in Python. Perfect for beginners who want to understand how modern optimizers work in deep learning. #AdamOptimizer #DeepLearning #PythonTutorial ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...