Install TFLearn by executing this command

For stable version:

pip install tflearn

For state-of-art version:

pip install git+https://github.com/tflearn/tflearn.git

TFLearn And Its Installation in Tensorflow

TFLearn can be described as a transparent and modular deep learning library created on top of the Tensorflow framework. The prime objective of TFLearn is to provide a higher-level API to Tensorflow so as to facilitate and accelerate experimentation, yet remaining fully compatible and transparent with it.

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Features

TFLearn is easy to understand and is a user-friendly high-level API for building deep neural networks structure. Through built-in high compatibility of neural network layers, optimizers, regularizers, metrics, etc. it performs fast prototyping. TFLearn functions can be used independently as well since all functions are built upon tensors. With the use of powerful helper functions, any TensorFlow graph can be trained easily that accepts multiple inputs, outputs, and optimizers, etc. TFLearn can also be used to create magnificent graph visualizations with details about gradients, weights, activations, etc. effortlessly. Easy device placement for utilizing multiple CPU/GPU....

Install TFLearn by executing this command:

For stable version:...

Example of tflearn:

Through the example given below application of TFLearn Regression is demonstrated....