Programming Neural Networks with Python

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 networks8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow