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Masoud Kazemi

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Top Questions
Top Answers
51
What values are returned from model.evaluate() in Keras?
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44
Does ImageDataGenerator add more images to my dataset?
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41
Multivariate LSTM with missing values
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40
How to get word vectors from Keras Embedding Layer
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37
'Tensor' object has no attribute 'lower'
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35
What does initial_epoch in Keras mean?
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34
What is the default weight initializer in Keras?
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33
How does mask_zero in Keras Embedding layer work?
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29
Does model.compile() initialize all the weights and biases in Keras (tensorflow backend)?
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28
How does binary cross entropy loss work on autoencoders?
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27
Keras Dense layer's input is not flattened
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20
How does Keras 1d convolution layer work with word embeddings - text classification problem? (Filters, kernel size, and all hyperparameter)
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17
What does the “[0][0]” of the layers connected to in keras model.summary mean?
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17
What does from_logits=True do in SparseCategoricalcrossEntropy loss function?
datascience.stackexchange.com

15
Can flow_from_directory get train and validation data from the same directory in Keras?
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14
Stop Training in Keras when Accuracy is already 1.0
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14
How to get the best model when using EarlyStopping callback in Keras?
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14
How to Merge Numerical and Embedding Sequential Models to treat categories in RNN
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13
Conversion of a sequential model to a functional model with Keras 2.2.0
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13
Random Forest and Decision Tree Algorithm
stats.stackexchange.com

12
tf.keras.models.save_model and optimizer warning
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12
Keras ImageDataGenerator: problem with data and label shape
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12
How to find “num_words” or vocabulary size of Keras tokenizer when one is not assigned?
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12
ValueError: No gradients provided for any variable - Tensorflow 2.0/Keras
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12
python/pandas: convert month int to month name
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12
Keras give input to intermediate layer and get final output
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11
Using sample_weights with fit_generator()
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10
Why does sigmoid & crossentropy of Keras/tensorflow have low precision?
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10
Extract encoder and decoder from trained autoencoder
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10
Evaluate a function in a sliding window with Keras
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