Normal neural networks cannot process very large data. For example, computer vision training uses a dataset called 'CIFAR,' which contains images with 32 x 32 pixels and three color channels.

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or ...

How do convolutional neural networks work? Convolutional neural networks work by extracting features from input data through convolutional layers and learning to classify the input data through ...

In this video, we will understand what is Padding in Convolutional Neural Network and why do we need padding in Convolutional Neural Network Convolution Operation faces two problems: 1.) The size of ...

The final case study shows how convolutional neural networks can be used for sea ice segmentation using synthetic aperture radar. Bio Rafael has a bachelor in Geophysics from the University of São ...