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Description
Product information "Programming neural networks with Python"
- A quick start with all the Python and maths basics
- Learning algorithms, activation functions, backpropagation
- Incl. online learning environment and introduction to TensorFlow
- 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 - 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. - 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.
- 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
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
Rheinwerk Verlag GmbH
Rheinwerkallee 4
DE 53227 Bonn
https://www.rheinwerk-verlag.de/
service@rheinwerk-verlag.de
Person responsible for the EU
See manufacturer information
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.
Reviews 1
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1 review
7 October 2021 00:00
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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