Introduction to Neural Networks

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Introduction to Neural Networks is a clear, hands-on guide that takes you from decision trees to fully functional neural networks. Written by Brega Joel Othniel and Drogba Ketoura under the supervision of Dr. Cyr Emile M'Lan, the book blends theory with real-world case studies you can reproduce today. Learn the core building blocks-neurons, layers, weights, biases, and activation functions (Sigmoid, Tanh, ReLU)-through intuitive explanations and LaTeX equations. Master training mechanics: forward/backward passes, cross-entropy and MSE loss, gradient descent, regularization, and early stopping....