Author: Shanqing Cai, Stanley Bileschi, Eric D. Nielsen, François Chollet
Publisher: Manning Publications
Size: 11 Mb
Content: The book you have in your hands will guide your grand tour through this multidimensional space of capabilities. We’ve chosen a path that primarily cuts through the first dimension (modeling tasks), enriched by excursions along the remaining dimensions.
We start from the relatively simpler task of predicting numbers from numbers (regression) to the more complex ones such as predicting classes from images and sequences, ending our trip on the fascinating topics of using neural networks to generate new images and training agents to make decisions (reinforcement learning).
The field of deep learning is a fast-evolving one. It is our belief that a firm understanding of machine learning is possible without formal mathematical treatment, and this understanding will enable you to keep yourself up-to-date in future evolution of the techniques.
Мета теги: Deep learning TensorFlow