python-tensorflowHow do I install TensorFlow using Conda in Python?
To install TensorFlow using Conda in Python, you can use the following steps:
- Create a Conda environment with Python 3.7 or higher:
conda create -n myenv python=3.7
- Activate the environment:
conda activate myenv
- Install TensorFlow inside the environment:
conda install tensorflow
- Verify that TensorFlow is installed correctly:
python -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"
Output example
tf.Tensor(-7.054118, shape=(), dtype=float32)
- Deactivate the environment:
conda deactivate
You can find more information about installing TensorFlow using Conda in the official TensorFlow documentation.
More of Python Tensorflow
- How can I use Tensorflow 1.x with Python 3.8?
- How can I disable warnings in Python TensorFlow?
- How can I use XGBoost, Python, and Tensorflow together for software development?
- How do I resolve the "no module named 'tensorflow.python.keras.preprocessing'" error?
- How can I use Python and TensorFlow to detect images?
- How do I use Python and TensorFlow to fit a model?
- How do I convert an unrecognized type class 'tensorflow.python.framework.ops.eagertensor' to JSON?
- How can I enable GPU support for TensorFlow in Python?
- How do I disable the GPU in Python Tensorflow?
- How can I install and use TensorFlow on a Windows machine using Python?
See more codes...