Deep Learning with Yacine on MSN

RMSProp Optimization from Scratch in Python

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...
IEEE

Automatic Implementation of Neural Networks Through Reaction Networks—Part II: Error Analysis

Abstract: Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged ...
IEEE

Automatic Implementation of Neural Networks Through Reaction Networks—Part I: Circuit ...

Abstract: Rapid advancements of artificial neural networks for computer sciences, inspired by biological neuron interaction mechanisms, may be leveraged in reverse to synthetic biology by providing ...
Analytics Insight

NumPy vs. PyTorch: What’s Best for Your Numerical Computation Needs?

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...
来自MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
C&EN

NNQS-AFQMC: Neural Network Quantum States Enhanced Fermionic Quantum Monte Carlo

Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 101408, China ...