Deep Learning for Computer Vision

You will implement the common architectures of deep learning such as convolutional neural networks, recurrent neural networks to work on your image data, with this book.By the end of the book, you will be confident to develop and train your own deep learning models and use them to solve your Computer Vision problems.What you will learnSetup up the environment for keras and tensorflowTrain a pet classification problem while training the first deep learning modelUse a pre-trained model for image retrieval problem by understanding the deeper layers of a m

He has published few papers in the same area.. Rajalingappaa Shanmugamani is currently working as a Machine Learning Expert at SAP Innovation Center Network. He has a Masters from Indian Institute of Technology - Madras where his thesis was based on applications of computer vision in industry. Previously, he has worked/ consulted at various

Previously, he has worked/ consulted at various startups for developing computer vision products. He has a Masters from Indian Institute of Technology - Madras where his thesis was based on applications of computer vision in industry. About the AuthorRajalingappaa Shanmugamani is currently working as a Machine Learning Expert at SAP Innovation Center Network. He has published few papers in the same area.