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How do you check whether the new vocabulary is not in the old vocabulary and then further train the existing model and see how the new vocabulary was incorporated in...
Asked on 06/15/2021
0 answerPLEASE NOTE: I am not trying to improve on the following example. I know you can get over 99% accuracy. The whole code is in the question. When I tried...
Asked on 06/14/2021
3 answerThe YouTube Faces database (YTF) consists of 3,425 videos of 1,595 different people. Given two videos, the task for YTF is to decide if they contain the...
Asked on 06/14/2021
1 answerI am fairly new to ML and CNN, and this is my first attempt. I have managed to get my model to run, and now I am trying to produce...
Asked on 06/14/2021
1 answerI am working on a system to classify documents into important/non-important. I have a large (200,000) sample set of documents which have been pre-labelled and using Naive-Bayes I have achieved...
Asked on 06/14/2021
1 answerI have a couple of questions and I was wondering if you could answer them. I have a bunch of images of the cars (side view only). I would like...
Asked on 06/14/2021
2 answerI'm new to RNNs and LSTM and would like some direction with a problem I have. I have a data set containing system metrics (like CPU utilization, disk operations, memory...
Asked on 06/14/2021
1 answerI have several documents that either contain or don't an X number of references. I would like to build a model that can detect the number of references if any...
Asked on 06/14/2021
0 answerI am building an anomaly detection system of event sequence data (transactions). For each timestep, a transaction can be in any of 76 different stages. My dataset is therefore a...
Asked on 06/14/2021
1 answerI have a small data set with the transformed series vector data with the music genre. The goal for me is to use the LSTM model to learn the non-linear...
Asked on 06/14/2021
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