The best thing about TFLearn is it's seamless experience with graph visualizations showing all the details about weights, gradients and activations. Review collected by and hosted on G2.com.
It's been seamless so far and there is nothing I dislike. Review collected by and hosted on G2.com.
It is very easy to learn. It is higher-level API to TensorFlow and makes building up a machine learning model much faster and easier with less complications. Review collected by and hosted on G2.com.
The explanations on its website about different parts and models and libraries is way far from being comprehensive, In most of the cases, a feature is just explained with few lines. Review collected by and hosted on G2.com.
I liked the transparency over Tensorflow, the powerful helper functions with support of multiple inputs, outputs and optimizers, and mostly the beautiful visualization support. Review collected by and hosted on G2.com.
I found it a little bit hard to use multiple gpus. Review collected by and hosted on G2.com.
Syntax are easier and cleaner.
Faster and transparent.
Visualization is great. Review collected by and hosted on G2.com.
Not able to install in Windows.
Few more tutorials will be really helpful. Review collected by and hosted on G2.com.
I am not a heavy user of TF but I know working with TF is not as easy as other tools and TFLearn has tried to abstract things out Review collected by and hosted on G2.com.
I haven't used it much to be able to say how it's better or worst than TF Review collected by and hosted on G2.com.
Powerful Tool. Pretty good for Deep Learning. Review collected by and hosted on G2.com.
No Support for Windows. TensorFlow lacks behind in both speed and usage when compared to its competitors Review collected by and hosted on G2.com.
TFLearn is a very useful tool to have in your Machine Learning toolkit Review collected by and hosted on G2.com.
Integration with a third party application Review collected by and hosted on G2.com.
A good higher level abstraction for using deep learning models out of the box. Saves the headache of having to create a manual configuration from scratch in tensorflow (other than if you want to use the Estimator API, which isn't that configurable). If I need to test a new architecture for my business-case, this can easily spin up one for me, the default configurations are quite usable. Review collected by and hosted on G2.com.
Quite a few things, firstly why hasn't this merged with Tensorflow yet? Why is there no one addressing Github issues promptly? This is one of the few opensource libraries with over 500 open issues most of which seem to be legit on opening manually, and no one but the developer can address it as its not a usage doubt, but a bug. Review collected by and hosted on G2.com.
simple abstraction on tensorflow, much easier to use than tf Review collected by and hosted on G2.com.
not as powerful than tensorflow in terms of functionality Review collected by and hosted on G2.com.
It is a high level interface on the top of tensorflow, so if you don't want to spend days dealing with TF at the beginning, TFLearn is the best Review collected by and hosted on G2.com.
the toturial is very brief, it needs more information about the library Review collected by and hosted on G2.com.
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