Rheinwerk Publishing Inc. Programming Neural Networks with Python New edition

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 creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow Autorid: Joachim Steinwendner