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Hasil Pencarian Ditemukan 29 koleksi (Hal. 1/2)
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C++ Template Metaprogramming in Practice A Deep Learning FrameworkC++ is a widely used programming language. Most C++ developers write code in an objectoriented way””the C++ projects in our daily life are basically organized in this style; almost…
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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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Manning Early Access Program Deep Learning with PythonDeep learning is an immensely rich subfield of machine learning, with powerful applications ranging from machine perception to natural language processing, all the way up to creati…
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Involution: Inverting the Inherence of Convolution for Visual RecognitionConvolution has been the core ingredient of modern neu- ral networks, triggering the surge of deep learning in vi- sion. In this work, we rethink the inherent principles of standar…
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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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Getting Started with Google BERT Build and train state-of-the-art natural language processing models using BERTThe transformer is one of the most popular state-of-the-art deep learning architectures that is mostly used for natural language processing (NLP) tasks. Ever since the advent of th…
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Next-Generation Machine Learning with SparkThis book provides an accessible introduction to Spark and Spark MLlib. However, this is not yet another book on the standard Spark MLlib algorithms. This book focuses on powerful…
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Machine Learning Yearning Technical Strategi for AI Engineers, In the Era of Deep LearningMachine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that…
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Brief Introduction to Machine Learning without Deep LearningThis is a lecture note for the course CSCI-UA.0473-001 (Intro to Machine Learning) at the Department of Computer Science, Courant Institute of Mathematical Sciences at New York Uni…
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Machine Learning for Economics and Finance in TensorFlow 2 Deep Learning Models for Research and IndustryTensorFlow not only provides us with a means of training deep learning models but also offers a suite of tools that can be used to solve arbitrary mathematical models. This include…
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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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Dive into Deep LearningDive into Deep Learning
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Natural Language Processing Recipes Unlocking Text Data with Machine Learning and Deep Learning using PythonAccording to industry estimates, more than 80% of the data being generated is in an unstructured format, maybe in the form of text, image, audio, video, etc. Data is getting genera…
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Deep Learning With PythonThis book offers a practical, hands-on exploration of deep learning. It avoids mathematical notation, preferring instead to explain quantitative concepts via code snippets and to b…