Hands - on Computer Vision With Tensorflow 2 : Leverage deep learning to create powerful image processing apps with tensorflow 2.0 and keras / : Benjamin Planche ; Eliot Andres

Incluye índice alfabético

Section 1 -- Tensorflow 2 and deep learning applied to computer vision -- Summary questions further reading -- Chapter 2 : Tensorflow basics and training a model technical requirements getting started with tensorflow 2 and keras -- Summary questions -- Chapter 3 : Modern Neural Networks technical requirements discovering convolutional neural networks -- Summary Questions Further reading -- Chapter 6 : Enhancing and segmenting images technical requirements transforming images with encoders- decoders -- Summary questions further reading -- Sections 3 -- Advanced concepts and new frontiers of computer vision -- Chapter 7 -- Training on complex and scarce datasets technical requirements efficient data serving -- Summary questions further reading -- Chapter 8 -- Video and recurrent neural networks technical requirements introducing RNNs -- Summary questions further reading -- Chapter 9 -- Optimizing models and deploying on mobile devices tecnical requirements optimizing computational and disk footprints -- Summary questions -- Appendix : Migrating from tensorflow 1 to tensorflow 2