Machine learning concepts with Python and the Jupyter Notebook environment using Tensorflow 2.0
Understand the fundamental concepts of machine learning with Python and TensorFlow 2.0, within the Jupyter Notebook environment. Even if you’re an absolute beginner, develop a strong understanding of the crucial ideas without feeling intimidated by the immensity of the sector. Start with a gentle in...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Apress
[2020]
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| Edición: | 1st ed. 2020. |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630801506719 |
Tabla de Contenidos:
- Chapter 1: An Overview of Artificial Intelligence
- Chapter 2: An Overview of Machine Learning
- Chapter 3: Introduction to Deep Learning
- Chapter 4: Machine Learning Versus Deep Learning
- Chapter 5: Machine Learning with Python
- Chapter 6: Introduction to Jupyter Notebooks
- Chapter 7: Python Programming on the Jupyter Notebook
- Chapter 8: The Tensorflow Machine Learning Library
- Chapter 9: Programming with Tensorflow 1.0
- Chapter 10: Introducing TensorFlow 2.0
- Chapter 11: Machine Learning Programming with TensorFlow 2.0.
