Tensorflow, why was python the chosen language?
Tensorflow has gained a lot of traction in the ML community.
In Tensorflow, how do I reshape the input tensor of an existing graph(e.g.,
MobileNet)?
Any computation that you can
express as a computational flow graph, you can compute with Tensorflow.
The system named Tensorflow is an open source software library
for numerical calculations using the data flow graph.
Tensorflow can identify what's in photos and videos,
understand speech, read and understand written text(to some extent) and more.
To create word embeddings in Tensorflow, we first split the text into words
and then assign an integer to every word in the vocabulary.
I am trying to deploy a Tensorflow image segmentation model to production using
the AI Platform of Google Cloud. I have previously succesfully de.
Instead of separate tools for each group, Tensorflow lets researchers test new ideas,
and when they work, move them into products without having to re-write code.
Called Tensorflow, the technology helps makes apps smarter,
and Google says it's far more powerful than its first-generation system- allowing the company to build and train neural nets up to five times faster than before.
Given the changes happening in both frameworks- Tensorflow moving towards eager execution and a
new Keras-inspired API and PyTorch looking to make it easier to productionise models- it will be interesting to see how this balance changes within the next year.
Tensorflow is what we use every day in the Google Brain team,
and while it's still very early days and there are a ton of rough edges to be ironed out, I'm excited about the opportunity to build a community of researchers, developers and infrastructure providers around it.