Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
What this book covers
Chapter 1, Setup and Introduction to Tensorflow, covers the setting up and installation of TensorFlow along with writing a simple Tensorflow model for machine learning.
Chapter 2, Deep Learning and Convolutional Neural Networks, introduces you to machine learning, and artificial intelligence as well as artificial neural networks and how to train them. It also covers CNNs and how to use TensorFlow to train your own CNN.
Chapter 3, Image Classification in Tensorflow, talks about building CNN models and how to train them for classifying the CIFAR10 dataset. It also looks at ways to help improve the quality of our trained model by talking about different methods of initialization and regularization.
Chapter 4, Object Detection ...
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