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Neural network for beginners : build deep neural networks and develop strong fundamentals using Python’s NumPy, and Matplotlib / Sebastian Klaas.

By: Material type: TextTextPublisher: New Delhi : BPB Publications, 2021Edition: 1st editionDescription: 256 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789389423716
Subject(s): DDC classification:
  • 23 006.3  k.s.n.
Contents:
Chapter 1: Python introduction ‡ 2: Perceptron in depth ‡ 3: Neural networks ‡ 4: Training neural networks ‡ 5: Backpropagation ‡ 6: Neural network training techniques ‡ 7: CNN ‡ 8: Deep learning.
Summary: A beginner-focused guide to deep learning including perceptrons, backpropagation, CNNs, and training techniques, with practical implementation using NumPy and Matplotlib in Python.:contentReference[oaicite:1]{index=1}
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Media and mass communication Library B4 006.3 k.s.n. Available MA0002754
Total holds: 0

Includes bibliographical references.

Chapter 1: Python introduction ‡ 2: Perceptron in depth ‡ 3: Neural networks ‡ 4: Training neural networks ‡ 5: Backpropagation ‡ 6: Neural network training techniques ‡ 7: CNN ‡ 8: Deep learning.

A beginner-focused guide to deep learning including perceptrons, backpropagation, CNNs, and training techniques, with practical implementation using NumPy and Matplotlib in Python.:contentReference[oaicite:1]{index=1}

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