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Product information "Programming neural networks with Python"

Neural networks are at the centre of attention when it comes to artificial intelligence and machine learning. They are currently revolutionising a wide range of applications, from strategy games to image and speech recognition. Neural networks harbour ingenious ideas that are fortunately easy to explain . Our experts will help you to understand neural networks and develop them yourself. To use them profitably, programme different types of networks yourself. You will do this in Python, the main language of the AI world. You will deal with maths and programming , but you do not need any specific prior knowledge. Everything is explained very clearly with numerous illustrations. A fascinating book that will give you an overview of the world of AI.
  • A quick start with all the Python and maths basics
  • Learning algorithms, activation functions, backpropagation
  • Incl. online learning environment and introduction to TensorFlow
Step by step to a trained AI model
  1. Basics
    The authors have prepared a learning environment to help you get started, explain all mathematical concepts from the ground up and start with simple neural networks. Python crash course included
  2. Practice, practice, practice
    The theory is really important in this case. But then you develop different types of networks yourself - and apply them to different problems.
  3. Let the machines learn
    Neural networks need to be trained, and it's all about the how! Learn by example how to avoid pitfalls, use training data skilfully, select tools and increase the hit rates of your models.
From the content
  • The basic idea behind neural networks
  • Building a simple neural network
  • Training neural networks
  • Supervised and unsupervised learning
  • Important mathematical principles
  • Reinforcement learning
  • Different types of networks and their areas of application
  • Back propagation
  • Deep learning
  • Introduction to TensorFlow
  • Tools for data scientists
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Properties
Zolltarifnummer: 85444290
Brand: Rheinwerk Verlag
Country of Origin: China
EAN: 9783367102549
Gross Weight (kg): 0.881
Manufacturer ID: 978-3-367-10254-9
Product ID: PRINT07
Topic: Python
Manufacturer and safety information
Manufacturer information
Rheinwerk Verlag GmbH
Rheinwerkallee 4
DE 53227 Bonn
https://www.rheinwerk-verlag.de/
service@rheinwerk-verlag.de


Person responsible for the EU
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Safety instructions
  • Keep the book away from open flames as it is highly flammable.
  • Avoid contact of the book with water or moisture to prevent mould growth and damage.
  • Discontinue use if your posture remains poor to prevent physical discomfort.
  • Ensure that the book is stored in a childproof place to prevent small parts (e.g. bookmarks) from being swallowed.
  • Dispose of used books properly via waste paper recycling or special collection centres.
  • Do not dispose of damaged books carelessly Check whether local libraries or second-hand shops offer reuse.
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7 October 2021 00:00

Review with rating of 5 out of 5 stars

Sehr gute Einführung in die Th...

Sehr gute Einführung in die Thematik. Die Beispiele sind direkt nachvollziehbar. Installation der Anaconda-Umgebung und Jupyter verlief problemlos. Die Quellcodes sind als Jupyter-Notebooks verfügbar. Bin begeistert.

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