Deep Learning for Computer Vision with Python, Volume 2
Adrian Rosebrock
Welcome to the Practitioner Bundle of Deep Learning for Computer Vision with Python! This
volume is meant to be the next logical step in your deep learning for computer vision education
after completing the Starter Bundle.
At this point, you should have a strong understanding of the fundamentals of parameterized
learning, neural networks, and Convolutional Neural Networks (CNNs). You should also feel
relatively comfortable using the Keras library and the Python programming language to train your
own custom deep learning networks.
The purpose of the Practitioner Bundle is to build on your knowledge gained from the Starter
Bundle and introduce more advanced algorithms, concepts, and tricks of the trade—these techniques
will be covered in three distinct parts of the book.
volume is meant to be the next logical step in your deep learning for computer vision education
after completing the Starter Bundle.
At this point, you should have a strong understanding of the fundamentals of parameterized
learning, neural networks, and Convolutional Neural Networks (CNNs). You should also feel
relatively comfortable using the Keras library and the Python programming language to train your
own custom deep learning networks.
The purpose of the Practitioner Bundle is to build on your knowledge gained from the Starter
Bundle and introduce more advanced algorithms, concepts, and tricks of the trade—these techniques
will be covered in three distinct parts of the book.
Catégories:
Volume:
2-Practitioner Bundle
Année:
2017
Edition:
1.10
Editeur::
PyImageSearch
Langue:
english
Pages:
210
Fichier:
PDF, 9.53 MB
IPFS:
,
english, 2017
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