Sivanandam’s book is the "training wheels" for the bicycle of Deep Learning. One cannot run before walking.
Assuming you manage to locate the PDF, simply reading it is not enough. To extract maximum value: Sivanandam’s book is the "training wheels" for the
The book provides a hands-on approach to learning neural networks using MATLAB 6.0, with numerous examples, illustrations, and exercises. The authors have used a clear and concise writing style, making the book accessible to readers with a basic understanding of programming and mathematics. To extract maximum value: The book provides a
Sivanandam gave the world a gift: a zero-friction entry point into Artificial Intelligence. If you find the PDF, treat it as a workbook. Do every exercise, run every script, and modify every parameter. You will emerge not as a "user" of AI, but as a builder of neural networks. If you find the PDF, treat it as a workbook
% Create a feedforward network with one hidden layer (2 neurons) net = newff([0 1; 0 1], [2 1], 'tansig', 'purelin', 'trainlm');
Sivanandam starts with the biological neuron, mapping it to the artificial neuron (McCulloch-Pitts model). He systematically covers: