This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

Artificial Neural Networks: Learning by Doing Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

Deep learning systems—a type of unsupervised machine learning—are increasingly used with neural networks. They’re called “deep learning” because they contain large numbers of neural layers.

Neural networks are usually trained with supervised learning. Deep learning uses neural networks that have a large number of “hidden” layers to identify features.

A neural network is a computational machine-learning model that follows the structure of the human brain. It consists of networks of interconnected nodes or neurons to process and learn from data ...

On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.