Audience
Researchers and developers looking for a modular and transparent deep learning library to facilitate their experimentations
About TFLearn
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics. Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations and more. The high-level API currently supports most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks.
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Company Information
TFLearn
tflearn.org
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Product Details
Platforms Supported
Mac
Linux
Training
Documentation
Support
Online
TFLearn Frequently Asked Questions
Q: What kinds of users and organization types does TFLearn work with?
TFLearn works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does TFLearn support in their product?
TFLearn supports these languages: English.
Q: What kind of support options does TFLearn offer?
TFLearn offers support via online.
Q: What other applications or services does TFLearn integrate with?
TFLearn integrates with: TensorFlow.
Q: Does TFLearn have an API?
Yes, TFLearn has an API.
Q: What type of training does TFLearn provide?
TFLearn provides training in the form of documentation.
