21–30 of 98 posts
The one time I actually want to subscribe/follow something there's no "Hey would you like to give me your email address?" popup... hmm
The link to the RSS feed is right down at the bottom ;)
edit: I did see that they have a podcast, nice, something to listen to while I walk 2 hours in the middle of the night.
How should I interpret their picture? Can I get an AMI with Keras preconfigured on a p2 instance? Because that would be pretty useful. I currently have a p2 instance (smallest possible one) that I spin up for training and the like.
https://aws.amazon.com/blogs/ai/the-aws-deep-learning-ami-no...
Earlier quoted context omitted.
The link to the RSS feed is right down at the bottom ;)
I did see that, but that RSS feed (atom?) I don't think I've ever used that in my life. I'll Google and see what/how to use it. I see it everywhere though. edit: I did see that they have a podcast, nice, something to listen to while I walk 2 hours in the middle of the night.
I highly recommend Inoreader as a great RSS reader.
We have recently set up a TensorFlow assessment function in AWS lambda, and got very close to the maximum allowed size of a lambda function (250MB) with the trained model currently being 85MB, and the TensorFlow libraries and binaries taking up another 140 or so megabytes by default ( I feel like Amazon could do some work in this area to support users to use their own engines and not be bound to AWS AI Platforms and…
For example in one Lambda function, we use Guice to get resources from S3.
I am a complete noob to the AI space but I was wondering whether the following is possible (in AWS). I have a million scanned images of court documents. Some are briefs, some are motions, some are court orders, etc... Given that I have images and their types, could I "train" the AI with these million documents to recognize a new image that might come in?
Principally, yes. However, the approach may be more nuisanced than that. If I were you, I would first pick a character recognition engine (which might have already been well trained) to convert the image to text. Once the text is there, that might serve as a better feature to classify the content. Furthermore, I had recommend converting words in the text to word-embeddings/ vectors using a suitable Glove or Word2Vec…
Disclaimer: pretty new to ML
We have recently set up a TensorFlow assessment function in AWS lambda, and got very close to the maximum allowed size of a lambda function (250MB) with the trained model currently being 85MB, and the TensorFlow libraries and binaries taking up another 140 or so megabytes by default ( I feel like Amazon could do some work in this area to support users to use their own engines and not be bound to AWS AI Platforms and…
Have you considered extracting the assessment functionality into an SWF activity, invoked from your Lambda via StepFunctions?
Earlier quoted context omitted.
I did see that, but that RSS feed (atom?) I don't think I've ever used that in my life. I'll Google and see what/how to use it. I see it everywhere though. edit: I did see that they have a podcast, nice, something to listen to while I walk 2 hours in the middle of the night.
Ughh, you're making me feel old. RSS is (was) an amazing system for tracking website updates over time. It lost out to Twitter and Facebook (which don't remotely replace the use case), though it is still what makes podcasts work. I highly recommend Inoreader as a great RSS reader.
Do we really need a Mark Cuban quote in there though.