Learn With Jay on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
New Scientist

Can a new book crack one of neuroscience's hardest problems? Not quite

The ideas presented in George Lakoff and Srini Narayanan's The Neural Mind are fascinating, but the writing is far less ...
Learn With Jay on MSN

Python neural network for multiclass classification using softmax

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

Boosting Ordered Statistics Decoding of Short LDPC Codes With Simple Neural Network Models

Abstract: Ordered statistics decoding has been instrumental in addressing decoding failures that persist after normalized min-sum decoding in short low-density parity-check codes. Despite its benefits ...
Frontiers

Neural networks and foundation models: two strategies for EEG-to-fMRI prediction

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...

Graphics Processing Units: From Pixels To Parameters

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
IEEE

Automated and Simplified Waste Segregation System Using Convolutional Neural Networks and Python

Abstract: This study introduces a novel strategy for waste segregation employing Convolutional Neural Networks (CNNs) and Python programming. By harnessing CNNs’ image feature extraction capabilities, ...
techxplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...