Do Convolutional Neural Network?

In deep learning, a convolutional neural network is a class of artificial neural network, most commonly applied to analyze visual imagery.

What can a Convolutional Neural Network do?

A Convolutional Neural Network (ConvNet/CNN) is a Deep Learning algorithm which can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image and be able to differentiate one from the other.

How does CNN work?

One of the main parts of Neural Networks is Convolutional neural networks (CNN). ... They are made up of neurons with learnable weights and biases. Each specific neuron receives numerous inputs and then takes a weighted sum over them, where it passes it through an activation function and responds back with an output.

James H. Sterling

James H. Sterling

Environmental Science & Climate Journalist

James Sterling reports on renewable energy developments, climate policy, ecological conservation, and green tech innovations around the globe.