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
Teaching Neural Network Programming

Teaching Neural Network Programming

Gómez, Jorge
Hernández, Velssy

Paperback

General Computers

ISBN10: 620774506X
ISBN13: 9786207745067
Publisher: Our Knowledge Publishing
Published: Jul 13 2024
Pages: 80
Weight: 0.28
Height: 0.19 Width: 6.00 Depth: 9.00
Language: English
In this book we briefly address the theoretical foundation of neural networks, from the basic principles of how a neuron works and its similarity with the biological part, in which we explain its axons (inputs), the weights of the inputs, the bias, the neuron body, the activation function and the axon output function. Subsequently, the architecture of a multilayer neural network, the learning process of the neural network through the functions of backpropagation and feedforward propagation are described. Finally, the book proceeds to train a neural network from scratch, with the aim of teaching the reader in a simple way how to design a neural network and the processes involved in learning it. Subsequently, a problem is defined for the detection of late blight in potato crops. The theoretical foundation of a convolutional network and definitions related to potato blight are presented. The reader is then presented with a step-by-step guide on how to create a project in Jupyter-lab for the detection of potato leaf blight.

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