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 trying to implement the binary classification example using the IMDb dataset in Google Colab. I have implemented this model …
python numpy kerasI am a newbie to keras, and when I tried to run my first keras program on my linux, something …
python matplotlib kerasI want to train a deep network starting with the following layer: model = Sequential() model.add(Conv2D(32, 3, 3, input_shape=(32, 32, 3))) …
deep-learning keras keras-layerI just installed the latest version of Tensorflow via pip install tensorflow and whenever I run a program, I get …
python python-3.x tensorflow keras tensorflow2.0I understand that when installing tensorflow, you either install the GPU or CPU version. How can I check which one …
tensorflow kerasI have Keras installed with the Tensorflow backend and CUDA. I'd like to sometimes on demand force Keras to use …
python machine-learning tensorflow kerasI have an example of a neural network with two layers. The first layer takes two arguments and has one …
python machine-learning keras neural-networkI'm running the LSTM model for the first time. Here is my model: opt = Adam(0.002) inp = Input(...) print(inp) x = …
python deep-learning keras verboseI have built a neural network with Keras. I would visualize its data by Tensorboard, therefore I have utilized: keras.…
keras tensorboardPerhaps too general a question, but can anyone explain what would cause a Convolutional Neural Network to diverge? Specifics: I …
python tensorflow machine-learning keras theano