Programming Neural Networks with Python by Joachim Steinwendner(.ePUB)

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File Size: 20.1 MB

Programming Neural Networks with Python: Your Practical Guide to Building Smart AI Systems with Machine Learning by Joachim Steinwendner, Roland Schwaiger
Requirements: .ePUB reader, 20.1 MB
Overview: Neural networks are at the heart of AI—so ensure you’re on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you’ll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you’re interested in Machine Learning, gen AI, LLMs, Deep Learning, or all of the above, this is the AI book you need! This is a hands-on book for getting started with ANNs. Supported by graphics, sample applications, and Python code, we’ll demonstrate how ANNs work and how you can program them yourself. This book consists of two parts. The first part gives you a compact overview from the concept to the implementation of various neural networks. The second part provides background and context for you because you now want to take a broader approach to the topic and add some theory to your first steps.
Genre: Non-Fiction > Tech & Devices

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