multi-class-text-classification-cnn
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jiegzhan
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
To switch to tensorflow 0.9 on python 3- so now i am using python 3 and Tensorflow 0.9. export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/tensorflow-0.9.0rc0-py3-none-any.whl python3 -m pip install $TF_BINARY_URL Then at line 82 replace...
Hello, i have a dataset with 1572 sentences and 13 classes. i try to train this data. here is output and error: INFO:root:The maximum length of all sentences: 40 INFe...
Traceback (most recent call last): File "train.py", line 136, in train_cnn() File "train.py", line 59, in train_cnn l2_reg_lambda=params['l2_reg_lambda']) File "/webserver/github/multi-class-text-classification-cnn/text_cnn.py", line 49, in __init__ self.h_pool = tf.concat(3, pooled_outputs) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py",...
When do predict i have got error after 7200 step: ``` CRITICAL:root:Saved model d:\Django\multi-class-text-classification-cnn\trained_model_1485372325\checkpoints\model-7200 at step 7200 CRITICAL:root:Best accuracy 0.8768386935926203 at step 7200 Traceback (most recent call last): File "train.py",...
