Deep Learning Optimization - Vikas Thada
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Deep learning is rapidly growing field for classification of digital images. Optimized Your Code to get Maximum Accuracy in deep learning models for classification of images. Various deep learning optimization algorithm such as stochastic gradient descent, ADAM, RMSProp, Adamax, Adadelta have been tried with varying number of epochs and most optimized one is chosen for predicting unseen images using Keras a ... Visas aprašymas
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Deep learning is rapidly growing field for classification of digital images. Optimized Your Code to get Maximum Accuracy in deep learning models for classification of images. Various deep learning optimization algorithm such as stochastic gradient descent, ADAM, RMSProp, Adamax, Adadelta have been tried with varying number of epochs and most optimized one is chosen for predicting unseen images using Keras and Tensorflow.
Daugiau informacijos
| Autorius | Vikas Thada |
|---|---|
| Leidėjas | LAP LAMBERT Academic Publishing |
| Išleidimo metai | 2019 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9786200101143 |