Machine learning is a rapidly growing field that has become more common of late. Because of the demanding computational usage of machine learning, this field has many dimensions needing research. TensorFlow has been developed to deal with and analyze neural networks computation. In particular, TensorFlow is often used in one of the machine learning branches and is called deep learning. This work discusses the performance of a deep learning model to train a very large dataset with TensorFlow. It compares performance when the run happens on CPUs and on GPUs regarding the run time and speed. The run time is an important factor for deep learning projects. The goal is to find the most efficient machine and platform to run the neural networks com...
ISC High Performance: International Conference on High Performance Computing.Ever growing interest a...
Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide...
The fast-growing field of Machine Learning has in the later years become more common, as it has gone...
Deep learning is a very computational intensive task. Traditionally GPUs have been used to speed-up ...
Deep learning is a very computational intensive task. Traditionally GPUs have been used to speed-up ...
Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide...
Machine Learning (ML) frameworks are tools that facilitate the development and deployment of ML mode...
Machine Learning (ML) frameworks are tools that facilitate the development and deployment of ML mode...
Deep learning has gained tremendous success in various fields while training deep neural networks (D...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide...
ISC High Performance: International Conference on High Performance Computing.Ever growing interest a...
Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide...
The fast-growing field of Machine Learning has in the later years become more common, as it has gone...
Deep learning is a very computational intensive task. Traditionally GPUs have been used to speed-up ...
Deep learning is a very computational intensive task. Traditionally GPUs have been used to speed-up ...
Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide...
Machine Learning (ML) frameworks are tools that facilitate the development and deployment of ML mode...
Machine Learning (ML) frameworks are tools that facilitate the development and deployment of ML mode...
Deep learning has gained tremendous success in various fields while training deep neural networks (D...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep Learning frameworks, such as TensorFlow, MXNet, Chainer, provide many basic building blocks for...
Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide...
ISC High Performance: International Conference on High Performance Computing.Ever growing interest a...
Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide...
The fast-growing field of Machine Learning has in the later years become more common, as it has gone...