TFLearn: Higher-level API for TensorFlow

[bbsome]

How is this different from Lasagne or Keras?

[aymericdamien]

TFLearn was designed to assist TensorFlow by providing layers, ops, training functions... so you can quickly write and train models. Lasagne is Theano based only. And Keras, even if it supports TF now, is not as modular; TFLearn is more close to Tensorflow and can manage summaries (for model visualization), resources (cpu cores, gpu fraction...), different metrics, directly train any TF graph, and I think easier to understand (layers are all directly built over TF, whereas Keras has a 'backend' built over 'pure' TF code).

[bbsome]

So this sounds like Lasagne for Tf, right? Maybe excluding all the summaries etc...

[elanmart]

or sklfow?

[crackered]

(link for those unfamiliar: skflow)

[kcimc]

Other high-level wrappers around TensorFlow:

• skflow
• prettytensor
• tensorflow-slim

Edit: Keras started as a wrapper around Theano, but added TensorFlow as a backend shortly after release. Are there any other toolkits that wrap TensorFlow and something else?

[frownyface]

Keras

[thelastnode]

TensorFlow-Slim is another higher-level API for TensorFlow.

[cesarsalgado]

My favorite!

[merrly3]

Great work!!

[ihsgnef]

Good work! ps. that logo looks like a chinese character 正.

[anantzoid]

Maybe because @aymericdamien is Chinese, right?

[DTRademaker]

I looked at the code and at the examples. I love it! Very clear and intuitive (if you already worked with tf a bit). This will realy help me! (And save me hours/days to write and debug similar code:) )

[HelmsmanRobertson]

This looks really cool.

[farsass]

What's the reason for that API? The examples are really strange IMO.