Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, w...

Buy Now From Amazon

Product Review

Neural networks have been a mainstay of artificial intelligence since its earliest days. Now, exciting new technologies such as deep learning and convolution are taking neural networks in bold new directions. In this book, we will demonstrate the neural networks in a variety of real-world tasks such as image recognition and data science. We examine current neural network technologies, including ReLU activation, stochastic gradient descent, cross-entropy, regularization, dropout, and visualization.

Similar Products

Artificial Intelligence for Humans, Volume 2: Nature-Inspired AlgorithmsArtificial Intelligence for Humans, Volume 1: Fundamental AlgorithmsIntroduction to the Math of Neural NetworksCode Your Own Neural Network: A step-by-step explanationMake Your Own Neural NetworkIntroduction to Artificial Intelligence: Second, Enlarged Edition (Dover Books on Mathematics)Machine Learning With Random Forests And Decision Trees: A Visual Guide For BeginnersThe Math of Neural NetworksFundamentals of Deep Learning: Designing Next-Generation Machine Intelligence AlgorithmsAlgorithms Illuminated: Part 1: The Basics