Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
https://github.com/infinitered/nsfwjs/blob/ebcd41c46087a3f42c6577f96acc53d7a934b068/src/index.ts#L68
Hello, it seems, although not explicit I can save the model to different schemas by referencing the underlying "model" attribute in the model returned by nsfwjs.load() e.g.
`nsfwjs.load(path).then(function (newModel) {
console.log("path", path);
if(newModel) {
How to use Watcher / WatcherClient over tcp/ip network?
Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?
We want to add support for RNNs. I will let this issue open for people who want to contribute to this project.
My suggestion would be just to write RNN (or any other RNN-like model) in the algorithm field in order to use an RNN model. Here is an example to illustrate what I mean:
model:
type: classification
algorithm: RNN
.
.
**If you a
Hi, Thanks for the awesome library!
So I am running a Kmeans on lots of different datasets, which all have roughly four shapes, so I initialize with those shapes and it works well, except for just a few times. There are a few datasets that look different enough that I end up with empty clusters and the algorithm just hangs ("Resumed because of empty cluster" again and again).
I conceptually
Bounds check and call [] operator
Video detection for large videos takes quite a bit of time, and it's not really feasible in a server setting (even just testing on my laptop, the memory consumption was a bit of a concern). So recommendations that should be pretty easy to implement:
Thank you for reaching out and helping us improve Vaex!
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