Deep Learning With Python
Autor : Francois Chollet,mark Thomas,manning Publications Co.
Geschlecht : Bücher, Computer & Internet, Programmierung & Webdesign, Script-Sprachen, Python,
lesen : 1950
Herunterladen : 1625
Dateigröße : 10.80 MB
Format : PDF, ePub
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. Deep learning from first principlesSetting up your own deep-learning environmentImage-classification modelsDeep learning for text and sequencesNeural style transfer, text generation, and image generation Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning - a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.