Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning and Its Applications Using Python

Deep Learning and Its Applications Using Python

Basha, Niha Kamal
Kumar, Abhishek
Bhatia, Surbhi

Hardcover

General Computers

ISBN10: 139416646X
ISBN13: 9781394166466
Publisher: Wiley-Scrivener
Published: Oct 31 2023
Pages: 256
Language: English
DEEP LEARNING AND ITS APPLICATIONS USING PYTHON

This practical book gives a detailed description of deep learning models and their implementation using Python programming relating to computer vision, natural language processing, and other applications.

This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning. Readers/users will discover

  • A precise description of deep learning history, fundamental concepts, and background information relating to deep learning;
  • A detailed introduction to several concepts including tensorflow and keras, starting from the fundamentals to the application-based concept implementation using Python;
  • Explanations of multilayer perceptron, convolutional neural network, recurrent neural network, and long short-term memory in terms of applications like chatbot, face detection and recognition;
  • Advanced deep learning concepts along with their future research advancements;
  • Assist in building the reader's understanding through intuitive explanations and practical examples by exploring challenging concepts in the related applications of computer vision, natural language processing, and other models.

Audience

The book is ideal for computer science researchers, industry professionals, as well as postgraduate and undergraduate students who want to learn how to program deep learning models using Python.

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