Artificial intelligence and deep learning with Python : every line of code explained for readers new to AI and new to Python / Steven D'Ascoli.
Material type:
TextLanguage: English Publisher: [Orlando, Florida] : [Publicado de forma independiente], 2022Copyright date: ©2022Edition: Primera ediciónDescription: viii, 276páginas : ilustraciones, gráficas ; 26 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9798406364208Subject(s): Inteligencia artificial -- Enseñanza | Aprendizaje automático (Inteligencia Artificial) -- Enseñanza | Python (lenguaje de programación de computadores) | Redes neuronales (Computadores) | Algoritmos -- Redes de computadoresDDC classification: 006.3 | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Libros
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Contiene información biográfica del autor.
Incluye índice (274-276)
1. Neural networks: a description ; 2. Creating a feed-forward artificial neural network using Phyton ; 3. Creating a feed-forward artificial neural network using for classification with binary output ; 4. Creating a long short-term memory neural network ; 5. Creating a convolutional neural network ; 6. Deep learning with natural language processing ; 7. Speech/audio recognition and classification ; 8. Thompson sampling ; 9. Conclusion.
Frustrated by deep learning books and videos that don't explain each and every line of code? Artificial Intelligence and Deep Learning with Python is far ahead of the rest when it comes to books explaining deep learning, AI and python to beginners of deep learning, AI and python. The author of this text believes that a computer language is like any other language. If you don't know what each part of a sentence means then you will never completely understand how to write new sentences. Similarly, if each part of a line of code is not explained to you, how can you write new original code? Why do so many books claiming to be for "beginners" not explain each and every line of code? Is it due to laziness, too much effort, or actually not wanting to teach readers about the subject? What can be more frustrating than having a few lines of code explained and then the next line is not explained or having only part of a line of code explained? In this text you will find ample explanations for each line of code for each project presented. In addition you will see thorough explanations of deep learning and AI concepts. The text is intended for those new to python as well as experienced programmers in python. For readers who are familiar with python, this book will guide them through applying deep learning's "language of choice" to fascinating and varied AI/deep learning projects. The author even gives his email to attempt to assist the readers with the projects Contraportada.
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