Joachim Steinwendner: Programming Neural Networks with Python, Flexibler Einband

Klappentext

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!

Highlights include:

1. Network creation
2. Network training
3. Supervised and unsupervised learning
4. Reinforcement learning
5. Algorithms
6. Multi-layer networks
7. Deep neural networks
8. Back propagation
9. Transformers
10. Python
11. Mathematical concepts
12. TensorFlow