Dekorationsartikel gehören nicht zum Leistungsumfang.
Sprache:
Englisch
125,95 €*
Versandkostenfrei per Post / DHL
Lieferzeit 4-7 Werktage
Kategorien:
Beschreibung
Introduction to Deep Learning and Neural Networks with Python(TM): A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python(TM) code examples to clarify neural network calculations, by book's end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and Python(TM) examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.
Introduction to Deep Learning and Neural Networks with Python(TM): A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python(TM) code examples to clarify neural network calculations, by book's end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and Python(TM) examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.
Über den Autor
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.
Inhaltsverzeichnis
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
Details
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Andere Fachgebiete |
Genre: | Medizin |
Rubrik: | Wissenschaften |
Medium: | Taschenbuch |
Seiten: | 300 |
ISBN-13: | 9780323909334 |
ISBN-10: | 0323909337 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Gad, Ahmed Fawzy
Jarmouni, Fatima Ezzahra |
Hersteller: | Elsevier Health Sciences |
Maße: | 153 x 229 x 20 mm |
Von/Mit: | Ahmed Fawzy Gad (u. a.) |
Erscheinungsdatum: | 26.11.2020 |
Gewicht: | 0,48 kg |
Über den Autor
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.
Inhaltsverzeichnis
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
Details
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Andere Fachgebiete |
Genre: | Medizin |
Rubrik: | Wissenschaften |
Medium: | Taschenbuch |
Seiten: | 300 |
ISBN-13: | 9780323909334 |
ISBN-10: | 0323909337 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Gad, Ahmed Fawzy
Jarmouni, Fatima Ezzahra |
Hersteller: | Elsevier Health Sciences |
Maße: | 153 x 229 x 20 mm |
Von/Mit: | Ahmed Fawzy Gad (u. a.) |
Erscheinungsdatum: | 26.11.2020 |
Gewicht: | 0,48 kg |
Warnhinweis