Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Neural Networks Without the Fear

Neural Networks Without the Fear

Nayak, Ravindra Kumar

Paperback

Series: The Super Agent Journey from Absolute Zero to AI Orchestrator, Book 7

General Computers

Currently unavailable to order

ISBN13: 9798192992432
Publisher: Independently Published
Pages: 348
Weight: 0.93
Height: 0.87 Width: 6.00 Depth: 9.00
Language: English
What if neural networks stopped looking like a wall of circles, arrows, and equations-and started feeling like a sequence of ideas you could actually rebuild for yourself?

Neural Networks Without the Fear is written for readers who want to understand the machinery behind modern AI without being pushed through unexplained jargon, programming prerequisites, or mathematics that arrives before its meaning. The book begins before the neuron itself: with signals, importance, weighted decisions, thresholds, and simple arithmetic. From that foundation, each new idea earns its place.

Step by step, the reader moves through inputs, weights, weighted sums, bias, activation functions, neurons, and layers; then into prediction, loss, learning rate, gradients, backpropagation, batches, epochs, and optimization. Hidden layers become understandable as learned representations rather than mysterious inner thoughts. Convolution, sequences, recurrence, attention, and time-series structure are introduced through the question each architecture is trying to solve.

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