Keras is a neural network library providing a high-level API in Python and R. Use this tag for questions relating to how to use this API.
I'm running a Keras model, with a submission deadline of 36 hours, if I train my model on the cpu it …
python tensorflow keras jupyterHow to load a model from an HDF5 file in Keras? What I tried: model = Sequential() model.add(Dense(64, input_…
python machine-learning keras data-scienceI have trained a binary classification model with CNN, and here is my code model = Sequential() model.add(Convolution2D(…
python tensorflow deep-learning kerasI'm trying to train a CNN to categorize text by topic. When I use binary cross-entropy I get ~80% accuracy, with …
machine-learning keras neural-network deep-learning conv-neural-networkWhen I am executing the command sess = tf.Session() in Tensorflow 2.0 environment, I am getting an error message as below: …
python tensorflow keras tensorflow2.0I am trying to work on neural networks in Python using the following Keras packages: from keras.utils import np_…
python-2.7 python-3.x anaconda theano kerasIf I want to use the BatchNormalization function in Keras, then do I need to call it once only at …
python keras neural-network data-science batch-normalizationQuestion is the same as the title says. I prefer not to open Python and I use either MacOS or …
kerasI'm playing with the reuters-example dataset and it runs fine (my model is trained). I read about how to save …
python theano deep-learning kerasFor any Keras layer (Layer class), can someone explain how to understand the difference between input_shape, units, dim, etc.? …
neural-network deep-learning keras keras-layer tensor