Add to ORKGTheano is a linear algebra compiler that optimizes a user’s symbolically-specified mathematical computations to produce efficient low-level implementations. In this paper, we present new features and efficiency improvements to Theano, and benchmarks demonstrating Theano’s performance relative to Torch7, a recently introduced machine learning library, and to RNNLM, a C++ library targeted at recurrent neural networks.
The increased interest in Artificial Intelligence (AI) raised the need for highly optimized and soph...
We present a library that provides optimized implementations for deep learning primitives. Deep lear...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
Abstract Theano is a linear algebra compiler that optimizes a user's symbolically-specified mat...
Abstract. Neural networks and machine learning algorithms in gen-eral require a flexible environment...
We present a new tool for training neural network language models (NNLMs), scoring sentences, and ge...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
Torch7 is a versatile numeric computing framework and machine learning library that extends Lua. Its...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
Computers are powerful tools which perform fast, accurate calculations over huge sets of data. Howev...
Machine learning has risen to prominence in recent years thanks to advancements in computer technolo...
The increased interest in Artificial Intelligence (AI) raised the need for highly optimized and soph...
We present a library that provides optimized implementations for deep learning primitives. Deep lear...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
Abstract Theano is a linear algebra compiler that optimizes a user's symbolically-specified mat...
Abstract. Neural networks and machine learning algorithms in gen-eral require a flexible environment...
We present a new tool for training neural network language models (NNLMs), scoring sentences, and ge...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
Torch7 is a versatile numeric computing framework and machine learning library that extends Lua. Its...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
The recent dramatic progress in machine learning is partially attributed to the availability of high...
Computers are powerful tools which perform fast, accurate calculations over huge sets of data. Howev...
Machine learning has risen to prominence in recent years thanks to advancements in computer technolo...
The increased interest in Artificial Intelligence (AI) raised the need for highly optimized and soph...
We present a library that provides optimized implementations for deep learning primitives. Deep lear...
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...