Titlebook: Deep Learning Projects Using TensorFlow 2; Neural Network Devel Vinita Silaparasetty Book 2020 Vinita Silaparasetty 2020 deep learning.tens

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https://doi.org/10.1007/978-1-4842-5802-6deep learning; tensorflow; data science; artificial intelligence; ai; python; keras; neural networks; cnn

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978-1-4842-5801-9Vinita Silaparasetty 2020

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Luís Gomes,Jo?o Paulo Barros,Anikó Costa need to understand the most basic unit of the neural network, the perceptron. A . is the elementary unit of a neural network and is modeled in a very similar manner to a neuron found in the human brain.

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Efficient Low-Power Hardware Design,ore powerful is a collection of neurons? That’s what we are going to discover in this chapter. Several neurons together make up a neural network. In this tutorial, we will create a multi-layer neuron and then classify the MNIST dataset with it. In Keras, a single iteration is referred to as an .. Le

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https://doi.org/10.1007/978-3-031-13714-3n spend time painstakingly filling in the colors manually. The current tool of choice is Photoshop or an equivalent. A single picture can take up to one month to colorize. In this chapter, we will implement a simple convolutional neural network (CNN) model to understand how image colorization works.