python-kerasHow can I use Python Keras on Windows?
Python Keras can be used on Windows by installing TensorFlow, a deep learning library, as a backend for Keras. To install TensorFlow, open a command prompt and type pip install tensorflow or pip install tensorflow-gpu to install the GPU version.
Once TensorFlow has been installed, you can import it into your Python environment by typing import tensorflow as tf.
You can then use Keras to build neural networks by importing the keras module and then using the Sequential model to define the layers of your neural network. For example:
from keras.models import Sequential
model = Sequential()
model.add(Dense(128, activation='relu', input_shape=(784,)))
model.add(Dropout(0.2))
model.add(Dense(64, activation='relu'))
model.add(Dropout(0.2))
model.add(Dense(10, activation='softmax'))
You can then compile the model using model.compile() and fit the model to the data using model.fit().
To learn more about using Keras on Windows, check out the Keras documentation.
More of Python Keras
- How do I check which version of Keras I am using in Python?
- How do I use Python Keras to zip a file?
- How do I install the Python Keras .whl file?
- How do I use Python Keras to create a Recurrent Neural Network (RNN) example?
- How can I use Python and Keras to perform Principal Component Analysis?
- How can I use Python with Keras to build a deep learning model?
- How can I decide between using Python Keras and PyTorch for software development?
- How do I use zero padding in Python Keras?
- How do I uninstall Keras from my Python environment?
- How can I use YOLO with Python and Keras?
See more codes...