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Kostas Varnalis's Papers

the Gennadius Library by the poet's daughter in 2001. Theano Michailidou provides an introductory essay on the work of Varnalis and his;

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The European Union online

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Deep Learning with Theano

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or;

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Python Deep Learning

revolutionary libraries in Python * Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and more Who This Book Is For;

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Python High Performance -

* Write asynchronous code using Asyncio and RxPy * Use Tensorflow and Theano for automatic parallelism in Python * Set up and run distributed;

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Greek-American Pioneer Women of Illinois

Petrakis, Theano Papazoglou Margaris, Venette Tomaras Askounes Ashford, and Senator Adeline J. Geo-Karis. With over 125 historic photos and;

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De zijkant van de filosofie

. Maar hoe zit het met Theano, Porete, Cereta en Salomé? Ken je die? Of denk je bij die namen eerder aan exotische gerechten dan aan beroemde filosofen;

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Java Deep Learning Essentials

Learning algorithms using a range of leading frameworks including DL4J, Theano and Caffe * Whether you're a data scientist or Java developer, dive;

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Python Machine Learning

questions of your data * Learn how to build neural networks using Keras and Theano * Find out how to write clean and elegant Python code that will;

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Pythagorean Women Philosophers

. Pseudonymous philosophical texts by Theano, Pythagoras' disciple or wife, his daughter Myia, and other female Pythagoreans, circulated in Greek and;

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Python Data Analytics

analysis Examine popular deep learning libraries Keras, Theano,TensorFlow, and PyTorch Who This Book Is For Experienced Python developers who need;

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Public Participation in Archaeology

MacDonald, Natalia Mazzia, Alicia Ebbitt McGill, Jeanne M. Moe, Theano Moussouri, Aino Nissinaho, Alejandra Pupio, Virginia Salerno, Dinc Sarac;

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Python for Probability, Statistics, and Machine Learning

modules such as Numpy, Scikit-learn, Sympy, Scipy, Lifelines, CvxPy, Theano, Matplotlib, Pandas, Tensorflow, Statsmodels, and Keras. This book;

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Python for Probability Statistics and Machine Learning

modules such as Numpy, Scikit-learn, Sympy, Scipy, Lifelines, CvxPy, Theano, Matplotlib, Pandas, Tensorflow, Statsmodels, and Keras. This book;

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Advanced Python Programming

Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python;

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De zijkant van de filosofie

. Maar hoe zit het met Theano, Porete, Cereta en Salomé? Ken je die? Of denk je bij die namen eerder aan exotische gerechten dan aan beroemde filosofen;

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Python Data Science Essentials -

Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science;

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Python Data Analysis -

, stasmodels, scikit-learn,theano, keras, and tensorflow on various platforms * Prepare and clean your data, and use it for exploratory analysis;

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Continuous Delivery with Docker and Jenkins

the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural;

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Python

cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it's;

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Advanced Machine Learning with Python

applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and;

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