Introduction to Deep Learning and Neural Networks with Python (TM)
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Introduction to Deep Learning and Neural Networks with Python (TM)
A Practical Guide
Jarmouni, Fatima Ezzahra; Gad, Ahmed Fawzy
Elsevier Science & Technology
11/2020
300
Mole
Inglês
9780323909334
15 a 20 dias
480
Descrição não disponível.
1. Preparing the Development Environment2. Introduction to ANN3. ANN with 1 Input and 1 Output4. Working with Any Number of Inputs5. Working with Hidden Layers6. Using Any Number of Hidden Neurons7. ANN with 2 Hidden Layers8. ANN with 3 Hidden Layers9. Any Number of Hidden Layers10. Generic ANN11. Speeding Neural Network using Cython and PyPy12. Deploying Neural Network to Mobile Devices
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Android; ANN; Architecture; backward pass; Backward pass; Bias; Code; Complete code; Constant; Development environment; Error calculation; Forward pass; Gradient; Gradients; Hidden layers; Hidden layers; Hidden layers; Inputs; Inputs assignment; Iteration; Kivy; Kivy app; MD dropdown menu; MDCheckbox; MDSpinner; Multiple training samples; Network architecture; Neural networks; Neurons; Outputs; Parameter; PyPy; Python 3; Python implementation; Python implementation; Scratch; SOP; Training network; Ubuntu virtual machine; Variable; Weight; Weights; Weights initialization
1. Preparing the Development Environment2. Introduction to ANN3. ANN with 1 Input and 1 Output4. Working with Any Number of Inputs5. Working with Hidden Layers6. Using Any Number of Hidden Neurons7. ANN with 2 Hidden Layers8. ANN with 3 Hidden Layers9. Any Number of Hidden Layers10. Generic ANN11. Speeding Neural Network using Cython and PyPy12. Deploying Neural Network to Mobile Devices
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Android; ANN; Architecture; backward pass; Backward pass; Bias; Code; Complete code; Constant; Development environment; Error calculation; Forward pass; Gradient; Gradients; Hidden layers; Hidden layers; Hidden layers; Inputs; Inputs assignment; Iteration; Kivy; Kivy app; MD dropdown menu; MDCheckbox; MDSpinner; Multiple training samples; Network architecture; Neural networks; Neurons; Outputs; Parameter; PyPy; Python 3; Python implementation; Python implementation; Scratch; SOP; Training network; Ubuntu virtual machine; Variable; Weight; Weights; Weights initialization
