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Janos Haits

Compute Library for Deep Neural Networks (clDNN) | 01.org - 0 views

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    "Compute Library for Deep Neural Networks (clDNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL inference on Intel® HD Graphics Driver and  Intel® Iris® graphics (also referred to as Intel® Processor Graphics)."
Janos Haits

mit press cisnet Home - 0 views

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    MIT Press CISnet brings together many of the MIT Press?s recent and classic titles in computer and information science in a fully searchable online library. Subscribers have access to a growing collection of MIT Press books on topics including programming, artificial intelligence, machine learning, human computer interaction, databases, digital libraries, networking, and robotics. CISnet is accessible from any computer with an Internet connection and from Web-enabled handhelds including the iPhone.
Janos Haits

TensorFlow Quantum - 1 views

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    "TensorFlow Quantum is a library for hybrid quantum-classical machine learning. # A hybrid quantum-classical model. model = tf.keras.Sequential([     # Quantum circuit data comes in inside of tensors.     tf.keras.Input(shape=(), dtype=tf.dtypes.string),     # Parametrized Quantum Circuit (PQC) provides output     # data from the input circuits run on a quantum computer.   TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google's quantum computing frameworks, all from within TensorFlow."
Janos Haits

MusicGraph.ai - 1 views

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    "MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."
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    "MusicGraph.ai is the first web-based graph analytics and intelligence engine for the music industry. The platform gives MusicGraph API users access to a comprehensive library of powerful algorithms that can be leveraged to extract even more value from the world's most extensive repository of music data. It's also fully integrated with MusicGraph allowing users to view all the relevant metrics surrounding API usage."
Janos Haits

TensorFlow -- an Open Source Software Library for Machine Intelligence - 1 views

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    "TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally devel"
Janos Haits

deeplearn.js - 0 views

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    "deeplearn.js a hardware-accelerated machine intelligence library for the web"
Janos Haits

Home - TensorFlow - 0 views

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    "TensorFlow is an Open Source Software Library for Machine Intelligence"
Janos Haits

Deeplearning4j: Open-source, Distributed Deep Learning for the JVM - 0 views

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    "Deep Learning for Java Open-Source, Distributed, Deep Learning Library for the JVM"
Janos Haits

Skymind - Deep learning for Enterprise on Hadoop and Spark - 0 views

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    "Skymind is the company behind Deeplearning4j, the only commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is specifically designed to run in business environments on distributed GPUs and CPUs."
Janos Haits

ml5js·Friendly Machine Learning For The Web - 0 views

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    'Welcome to the ml5 project! Developing ml5 is not just about developing machine learning software, it is about making machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.'
smithrobert36

Machine Learning with R- A comprehensive Guide - 0 views

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    As a subset, Machine Learning focuses on growing from observations and experiences. The popularity of machine learning certification courses on online training platforms indicates that this is the thing of the future. Coming to R, it is one of the major languages for data science because of its excellent visualization features, a growing ecosystem of third-party packages, and tools for machine learning interpretability. R has emerged as a fantastic tool for scientific computing and has powerful statistical libraries. Beginners commonly use R for exploring the data before applying any automated learning.
Janos Haits

Talk to Books - 0 views

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    "Browse passages from books using experimental AI"
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