Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Sorry, I am a machine learning beginner, so I have a few questions to ask ...
1) How to know what kind of training configuration is the best for my DataSet ?
2) In other words, can you explain the use of each parameter ?
For example, if my DataSet have more than 6,000 Sentences/row and the maximum length is 68.
I try batch_size : 4 and evaluate_every : 2 , but I only get 0.7 Accuracy at step 1152.
3) So ... Does this mean that it has trained entire DataSet?
Sorry, I am a machine learning beginner, so I have a few questions to ask ...
1) How to know what kind of training configuration is the best for my DataSet ? 2) In other words, can you explain the use of each parameter ?
For example, if my DataSet have more than 6,000 Sentences/row and the maximum length is 68. I try
batch_size : 4andevaluate_every : 2, but I only get 0.7 Accuracy at step 1152.3) So ... Does this mean that it has trained entire DataSet?