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. TFLearn is based on the original TensorFlow v1 graph API.
This is free and open source software.
Features include:
- 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…
- Effortless device placement for using multiple CPU/GPU.
Website: tflearn.org
Support: GitHub code repository
Developer: TFLearn contributors
License: MIT License
TFLearn is written in Python. Learn Python with our recommended free books and free tutorials.
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