Neural networks

Travis chat

Towards Data Science

In the same way that when you start programming in a new language there is a tradition of doing it with a Hello World print, in Deep Learning you start by creating a recognition model of handwritten…

Neural Network

Towards Data Science

Neural network are sophisticated learning algorithms used for learning complex, often a non-linear machine learning model.

Neural Networks

Codecademy

Artificial neural networks (ANN) are a method in artificial intelligence that teaches computers to process data in a way similar to the human brain. What Is An Artificial Neural Network (ANN) An ANN a...

Deep Neural Networks

Kaggle Learn Courses

Introduction In this lesson we're going to see how we can build neural networks capable of learning the complex kinds of relationships deep neural nets are famous for. The key idea here is *modularit...

Neural Networks

PyTorch Tutorials

Define the network Let’s define this network: You just have to define the forward function, and the backward function (where gradients are computed) is automatically defined for you using autograd . Y...

Neural Network

Codecademy

In TensorFlow, a Neural Network is a specific type of model that consists of a combination of interconnected nodes (neurons) organized into different numbers and types of layers. A neural network is a...

Deep Learning

Towards AI

Biometric authentication is a mode of verifying a user based on some part of their physical features. Authentication is different from identification, where biometrics such as fingerprint, face…

Make it Simple: Neural Networks

Towards Data Science

This article will provide a narrative overview of neural networks in general. It will help people with or without mathematical background to apply their specific knowledge in one of the most…

Neural Networks : More than deep learning

Towards Data Science

Neural Networks is a branch of Computational Intelligence extending far beyond deep learning. While many search for the deepest network, others are finding unique implementations and uses for…

Recurrent Neural Networks

Towards Data Science

The goal of this article is to explore Recurrent Neural Networks in-depth, which are a kind of Neural Networks with a different architecture than the ones seen in previous articles (Link). As we have…...

How Things Work: Artificial Neural Networks

Towards Data Science

Neural networks are, in a nutshell, a subfield of machine learning algorithms that are inspired by neurons in the human brain. Nowadays, AI technology that is powered by neural networks is…

Convolutional Neural Networks

Analytics Vidhya

Neural Networks are a class of algorithms widely used in Deep Learning, the field of Machine Learning whose aim is that of learning data representation via multi-layers, deep algorithms. So by…