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Generative Adversarial Networks for Image-to-Image Translation

in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative;

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Generative Adversarial Networks for Image Generation

explores three promising applications of GANs, including image-to-image translation, unsupervised domain adaptation and GANs for security. This;

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Practical TensorFlow.js

browser, making it an ideal environment to deploy AI systems. TensorFlow.js is a well-known and battle-tested library for creating browser;

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Practical TensorFlow.js

browser, making it an ideal environment to deploy AI systems. TensorFlow.js is a well-known and battle-tested library for creating browser;

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Hands-On Image Generation with TensorFlow

into a painting Build and train pix2pix, CycleGAN, and BicycleGAN for image-to-image translation Use iGAN to understand manifold;

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Practical Convolutional Neural Networks

of supervised training data of labeled images is available. Later we build upon the learning achieved to build advanced vision related algorithms for;

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Deep Learning with Theano

of Theano to natural language processing tasks, for chatbots or machine translation * Cover artificial intelligence-driven strategies to enable a;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2020

was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2020

was held virtually due to the COVID-19 pandemic.The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions;

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Medical Image Computing and Computer Assisted Intervention MICCAI 2020

was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions;

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Handbook of Decision Support Systems for Neurological Disorders

, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence;

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Simulation and Synthesis in Medical Imaging

generative models or adversarial learning for MRI/CT/ microscopy image synthesis, and several applications of image synthesis and simulation for data;

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Simulation and Synthesis in Medical Imaging

generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, image super resolution, and several applications of image;

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Introduction to Deep Learning Business Applications for Developers

personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers;

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GANs in Action

images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a;

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TensorFlow Deep Learning Projects

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features Build efficient deep;

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Advanced Deep Learning with R

advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks;

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Simulation and Synthesis in Medical Imaging: 5th International Workshop, Sashimi 2020, Held in Conjunction with Miccai 2020, Lima, Peru, October 4, 20

generative models or adversarial learning for MRI/CT/PET/microscopy image synthesis, and several applications of image synthesis and simulation for;

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Machine Learning in Medical Imaging

158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses;

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Generative Deep Learning Teaching Machines to Paint, Write, Compose and Play

Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting;

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Hands-On Convolutional Neural Networks with TensorFlow

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;

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The Deep Learning Workshop

? Whether you are familiar with machine learning or are new to this domain, The Deep Learning Workshop will make it easy for you to understand deep;

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Strengthening Deep Neural Networks Making AI Less Susceptible to Adversarial Trickery

this adversarial input, and methods for increasing AI robustness to these attacks. If you're a data scientist developing DNN algorithms, a;

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Reinforcement Learning for Finance

generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming;

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TensorFlow 2.0 Computer Vision Cookbook

Generative Adversarial Networks (GANs), video processing, and AutoML, concluding with a section focused on techniques to help you boost the;

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Adversarial Robustness for Machine Learning

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on;

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Deep Learning with Keras

implemented using Keras * A practical, hands-on guide with real-world examples to give you a strong foundation in Keras Who This Book Is For If;

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