Introduction to Neural Networks

Perceptrons and Single-Layer Neural Networks

Multi-layer Neural Networks and Backpropagation

Training Neural Networks - Techniques and Challenges

Deep Learning and Convolutional Neural Networks

Applications of Deep Learning

Regularization in Neural Networks

Developing Neural Networks using Python and Libraries

Future Perspectives of Neural Networks and Deep Learning

Appendices - Maths, Coding Techniques and References

Neural Networks and Deep Learning is a comprehensive introduction to the core concepts and methodologies of neural networks and deep learning. Covering everything from basic principles to practical applications, this book is an essential guide for understanding the key mechanisms that underpin these cutting-edge technologies.

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technology

non_fiction

Neural Networks and Deep Learning