Deep Learning with R

Francois Chollet, J. J. Allaire

立即出貨 (庫存=1)

  • Samplech01 003
  • Samplech01 004
  • Samplech01 005
  • Samplech01 006
  • Samplech01 007
  • Samplech01 008
  • Samplech01 009
  • Samplech01 010
  • Samplech01 011
  • Samplech01 012
  • Samplech01 013
  • Samplech01 014
  • Samplech01 015
  • Samplech01 016
  • Samplech01 017
  • Samplech01 018
  • Samplech01 019
  • Samplech01 020
  • Samplech01 021
  • Samplech01 022
  • Samplech01 023
  • Samplech01 024
Samplech01 003



Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition. It's behind photo tagging, self-driving cars, virtual assistants and other previously impossible applications.

Deep Learning with R is for developers and data scientists with some R experience who want to use deep learning to solve real-world problems. The book is structured around a series of practical examples that introduce each new concept and demonstrate best practices. You'll begin by learning what deep learning is, how it connects with AI and Machine Learning, and why it's rapidly gaining in importance right now. You'll then dive into practical applications of computer vision, natural language processing, and more.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.