来自MSN

Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Frontiers

Editorial: Deep neural network architectures and reservoir computing

Over the past decade, deep learning (DL) techniques such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks have played a pivotal role in advancing the field of ...
techxplore

Curved neural networks enable AI memory recall through geometric design

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...
IEEE

Tutorial: Basic Design Approaches to Accelerating Deep Neural Networks

Abstract: Deep neural networks are used across a wide range of applications. Custom hardware optimizations for this field offer significant performance and power advantages compared to general-purpose ...
GitHub

OyewoleRasheed/Classification-with-Neural-Networks-using-Python

This repository contains my implementation of a feed-forward neural network classifier in Python and Keras, trained on the Fashion-MNIST dataset. It closely follows the tutorial by The Clever ...
gc.cuny

Programming Neural Networks in Python: Part II

The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...
gc.cuny

Programming Neural Networks in Python: a multi-part workshop

The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...