Deep learning is applicable to a widening range of artificial
intelligence problems, such as image classification, speech recognition,
text classification, question answering, text-to-speech, and optical
character recognition.

Deep Learning with Python is structured around a series of practical
code examples that illustrate each new concept introduced and
demonstrate best practices. By the time you reach the end of this book,
you will have become a Keras expert and will be able to apply deep
learning in your own projects.

KEY FEATURES

Practical code examples
In-depth introduction to Keras
Teaches the difference between Deep Learning and AI

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Medium erhältlich in:
1 Bibliothek der BSP Berlin, Berlin

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Personen: Chollet, Francois

Standort: BSP

Schlagwörter: Künstliche Intelligenz Programmiersprache Informatik Python Programmiersprache Deep Learning Keras Framework