Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide
Author:   Ahmed Fawzy Gad (Researcher and Assistant Lecturer, Menoufia University, Egypt) ,  Fatima Ezzahra Jarmouni (Ecole Nationale Superieure d'Informatique et d'Analyse des Systemes, Rabat, Morocco)
Publisher:   Elsevier Science & Technology
ISBN:  

9780323909334


Pages:   300
Publication Date:   26 November 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide


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Introduction to Deep Learning and Neural Networks with Pythonⓢ: A Practical Guide

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Author:   Ahmed Fawzy Gad (Researcher and Assistant Lecturer, Menoufia University, Egypt) ,  Fatima Ezzahra Jarmouni (Ecole Nationale Superieure d'Informatique et d'Analyse des Systemes, Rabat, Morocco)
Publisher:   Elsevier Science & Technology
Imprint:   Academic Press Inc
Weight:   0.480kg
ISBN:  

9780323909334


ISBN 10:   0323909337
Pages:   300
Publication Date:   26 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Preparing the Development Environment 2. Introduction to ANN 3. ANN with 1 Input and 1 Output 4. Working with Any Number of Inputs 5. Working with Hidden Layers 6. Using Any Number of Hidden Neurons 7. ANN with 2 Hidden Layers 8. ANN with 3 Hidden Layers 9. Any Number of Hidden Layers 10. Generic ANN 11. Speeding Neural Network using Cython and PyPy 12. Deploying Neural Network to Mobile Devices

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Author Information

Dr. Gad is a data neuroscientist who is passionate about artificial intelligence, machine learning, deep learning, computer vision, and Python with over 7 projects in the fields. He is a researcher at both the University of Ottawa, Canada and Menoufia University, Egypt and also serves in a teaching capacity as an Assistant Lecturer. He has contributed to over 80 original articles and additional tutorials in addition to his previous 3 books. He hopes to continue adding value to the neural data science community by sharing his writings, recorded tutorials, and consultation with new trainees in the field. Fatima Ezzahra Jarmouni is an M.Sc. junior data scientist interested in statistics, data science, machine learning, and deep learning. Currently enrolled in a PhD program in machine learning at ENSIAS. She codes with Python and has experience in Python data science libraries including NumPy, Scikit-Learn, TensorFlow, and Keras.

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