Pencarian Koleksi Digital
Hasil Pencarian Ditemukan 14 koleksi (Hal. 1/1)
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Manning Early Access Program Inside Deep Learning Math, Algorithms, ModelsDeep learning (also called neural networks) gives us tools to help improve the quality of life in big and small ways, and my sincere desire is to pass that along to you. By the end…
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Deep Learning for Natural Language Processing Creating Neural Networks with PythonThis book attempts to simplify and present the concepts of deep learning in a very comprehensive manner, with suitable, full-fledged examples of neural network architectures, such…
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Transformers for Natural Language Processing Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and moreTransformers are a game-changer for Natural Language Understanding (NLU), a subset of Natural Language Processing (NLP), which has become one of the pillars of artificial intellige…
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Artificial Neural Networks with TensorFlow 2 ANN Architecture Machine Learning ProjectsThe use of deep neural networks makes it possible to add colors to a B&W image. You learned to create AutoEncoders, which we used for colorizing B&W images. The AutoEncoder contain…
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Applied Neural Networks with TensorFlow 2 API Oriented Deep Learning with PythonIn this chapter, we covered our last neural network architecture, generative adversarial networks, which are mainly used for generative tasks in fields such as art, manufacturing,…
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Handbook of brain theory and Neural Networkthe authors of the articles in part III come from a broad spectrum of disciplines such as biomedical enginering,cognitif ,science,elektrical enginering,linguistic,physicneurologi
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Fuzzy engineering expert systems with neural network applicationsThe definition of human intelligence has always been elusive. Despite years of research, scientists are still unable to describe accurately the reasoning process of the human brain…
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Fuzzy_Logic_and_Expert_Systems_ApplicationsInspired by the structure of the human brain, artificial neural networks have been widely apphed to fields such as pattern recognition, optimization, coding, control, etc., because…
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the implementation of extraction feature using glcm and back propagation artificial neural network to clasify lombok songket woven clothAbstract”” The aimed of this study was to apply the feature extraction method of GLCM and Backpropagation Artificial Neural Network (ANN) to classify Lombok's typical Songket woven…
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Automated Diagnosis of Pigmented Skin Lesions Based on Texture CharacteristicsSkin cancer is the most common type of cancer and represents 50% all new cancer detected every year. Melanoma is the most dangerous, deadly form of Skin Cancer. About 65% of Melano…
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Deep Learning Projects Using TensorFlow 2 Neural Network Development with Python and KerasThis work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprint…
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Deep Learning Architectures - A Mathematical ApproachThe book is structured into four main parts, from simple to complex topics. The ï¬Ârst one is an accessible introduction to the theory of neural networks; the second part treats…
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Skin Cancer Detection using GLCM Matrix Analysis and Back Propagation Neural Network ClassifierThe presented work here is focussed on extraction of features inclusive of contrast, correlation, homogeneity, entropy, radius, standard deviation and perimeter etc for exact detec…
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Segmentation and Classification of Skin Lesions Based on Texture FeaturesSkin cancer is the most common type of cancer and represents 50% all new cancers detected each year. The deadliest form of skin cancer is melanoma and its incidence has been rising…
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