The best thing is the minimal installation hassle generally we have to check which packages are compatible with which version of other. But here we dont have to go through any of that bullshit. Review collected by and hosted on G2.com.
I used the sandbox version, so it works great overall but highly dependent on the system configuration of my own system. So in this usecase colqb works much better. But there is also the thing about uploading datasets to drive in case of colab. So overall its fine. Review collected by and hosted on G2.com.
Love the integrations and pre built readiness with Tensorflow, Keras, GPU, cuDNN
I have used Tensorflow with cuDNN for my projects Review collected by and hosted on G2.com.
Some of my interns want to try it out and not sure if they can play around without paying money
We work on Reinforcement Learning and some pre built features or ai gym like environments would be nice Review collected by and hosted on G2.com.
Library are there as most of the hassle free work is done through them Review collected by and hosted on G2.com.
More libraries should be part of this so productivity increases. Review collected by and hosted on G2.com.
Continuous integration and deployment workflows it helps to run execution environment for trainng interference and running a api services Review collected by and hosted on G2.com.
We can add more packages to this notebook and update notification should be provided for new changes and packages Review collected by and hosted on G2.com.