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 use Python Keras to zip a file?
- How do I use Python and Keras to access datasets?
- How can I use word2vec and Keras to develop a machine learning model in Python?
- How do I install the Python Keras .whl file?
- How can I improve the validation accuracy of my Keras model using Python?
- How can I use Python, OpenCV, and Keras together to build a machine learning model?
- How can I use YOLO with Python and Keras?
- How do I install Keras on Windows using Python?
- How can I use Python and Keras to create a Variational Autoencoder (VAE)?
- How do I use Python and Keras to create a VGG16 model?
See more codes...