From the course: Deep Learning: Getting Started
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Building the RCA model
From the course: Deep Learning: Getting Started
Building the RCA model
- Now we proceed to build a model for root cause analysis. The code for building the model is available in section 6.3 of the notebook. We set the EPOCHS to 20 and BATCH SIZE to 64. We will use a model with two hidden layers of 128 notes each and an output layer with three notes. We will build the model, then fit the training data and then evaluate it against the test data. Let's run this code. We see the overall accuracy during training to be around 86% and the accuracy against test data to be 76%, we can continue to improve the model by increasing the number of layers or the number of nodes.
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