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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 ...
Frontiers

Prediction model based on neural network and complex plane analysis: a case study of agricultural carbon emissions in Henan Province

1 School of Marxism, Chongqing Chemical Industry Vocational College, Chongqing, China 2 College of Public Policy and Management (College of Emergency Management), China University of Mining and ...
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python As shutdown ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
AOL

Final Emmy Predictions: Documentary Programs — Wide‑Open Races Could Decide Which Networks Top the Nomination Leaderboard

Nonfiction Categories Commentary (Updated: July 11, 2025): With Emmy nominations set to be unveiled July 15, the three documentary fields — documentary or nonfiction series, documentary or nonfiction ...
C&EN

RTK_RAG: Leveraging Retrieval Augmented Generation with Multi-Window Convolutional Neural Networks for Superior ATP Binding Site Prediction in Receptor Tyrosine Kinases

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Receptor tyrosine kinases (RTKs) are key regulators of cellular signaling and are ...
IEEE

Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification

Abstract: Surface water quality is of utmost significance to ensure public health and facilitate sustainable economic development. Traditional water quality assessment methods are typically ...
SciELO

Prediction of Microstructural and Mechanical Properties of Steel Welds with Artificial Neural Networks

In the field of materials science, the application of machine learning, particularly neural networks inspired by the human brain, has gained significant traction in recent years. One of the key ...