Carte Math for Deep Learning Ronald T. Kneusel

Math for Deep Learning

Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
Expediem în 3-6 zile
190.57 lei
Math for Deep Learning provides the essential math you need to understand deep learning discussions,...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2021
Pagini
344
EAN
9781718501904
ISBN
1718501900
Enbook ID
36537261
Greutate
636
Dimensiuni
177 x 232 x 24

Descriere completă

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.In addition you ll find coverage of gradient descent including variations commonly used by the deep learning community: SGD, Adam, RMSprop, and Adagrad/Adadelta. 

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