Convolutional neural networks (CNNs) are a category of neural networks that can be used to identify spatial patterns in a robust manner. They achieve this robustness by a parsimonious use of parameters and by systematic identification of simple patterns that are aggregated into complex specifications using subsequent layers. They are able to recognize features in a translation-invariant fashion. Their use in modern digital imaging technology is ubiquitous, with most cameras programmed to pick out faces ...
3. Convolutional Neural Networks
Get Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.