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What is Understanding Neural Networks and Deep Learning about?

The document provides an overview of artificial intelligence, machine learning, and deep learning, detailing techniques such as neural networks, activation functions, and various training methods like gradient descent. It discusses the architecture and applications of convolutional neural networks (CNNs), including notable models like LeNet-5, VGG-Net, and GoogleNet, as well as the challenges of deep networks addressed by residual networks. Additionally, it covers sequence modeling applications and the mech

Author

Azzedine Bk

Language

EN