The building blocks in Keras include neural network layers, optimization functions, activation functions, and several tools for working with data and training in general.
I was able to install version 0.9.0 and version 0.11.0 using same instructions but neither of these versions have Keras.
sudo apt install python3-pip pip3 install -upgrade pip python3 -m pip install tensorflow if you already had tensorflow installed substitute the last command this this: pip3 install - … While the instructions might work for other systems, it is only tested and supported for Ubuntu and macOS. However, if you install the dependencies of scipy first, your newly created TensorFlow wheel will install scipy 1.14.1 correctly in the end. from keras_unet.models import custom_unet model = custom_unet (input_shape = (512, 512, 3), use_batch_norm = False, num_classes = 1, filters = 64, dropout = 0.2, output_activation = 'sigmoid') U-Net for satellite images. Assuming that you have pip installed, run: git clone https : // github. I think this is the python located in /usr/bin/python.
