Cargando…
Python deep learning cookbook: over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
Autor principal: | Bakker, Indra den |
---|---|
Lenguaje: | eng |
Publicado: |
Packt Publishing
2017
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2300544 |
Ejemplares similares
-
Keras deep learning cookbook: over 30 recipes for implementing deep neural networks in Python
por: Dua, Rajdeep, et al.
Publicado: (2018) -
Scikit-learn cookbook: over 80 recipes for machine learning in Python with scikit-learn
por: Avila, Julian, et al.
Publicado: (2017) -
Ensemble machine learning cookbook: over 35 practical recipes to explore ensemble machine learning techniques using Python
por: Sarkar, Dipayan, et al.
Publicado: (2019) -
MicroPython cookbook: over 110 practical recipes for programming embedded systems and microcontrollers with Python
por: Alsabbagh, Marwan
Publicado: (2019) -
TensorFlow machine learning cookbook: over 60 recipes to build intelligent machine learning systems with the power of Python
por: McClure, Nick
Publicado: (2018)