推荐10本神经网络的教材

我可以推荐以下10本神经网络的教材：

1. 《Neural Networks and Deep Learning》 by Michael Nielsen
2. 《Deep Learning》 by Goodfellow, Bengio, and Courville
3. 《Pattern Recognition and Machine Learning》 by Bishop
4. 《Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow》 by Géron
5. 《Introduction to Artificial Neural Systems》 by Zurada
6. 《Fundamentals of Neural Networks: Architectures, Algorithms, and Applications》 by Fausett
7. 《Artificial Intelligence: A Modern Approach》 by Russell and Norvig
8. 《Neural Network Design (2nd Edition)》 by Hagan, Demuth and Beale
9. 《Reinforcement Learning: An Introduction》 by Sutton and Barto
10. 《Sparse Coding and Its Applications in Computer Vision》 by Henning Olsson