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 Lite with XNNPACK in Python?
- How can I use Python TensorFlow in W3Schools?
- How do I check the version of Python Tensorflow I'm using?
- How can I check the compatibility of different versions of Python and TensorFlow?
- How do I resolve a SymbolAlreadyExposedError when the symbol "zeros" is already exposed as () in TensorFlow Python util tf_export?
- How can I access the 'inputs' attribute in the 'tensorflow_estimator.python.estimator.api._v2.estimator' module?
- How do I upgrade my Python TensorFlow version?
- How can I use YOLOv3 with Python and TensorFlow?
- How can I use Python and TensorFlow to create an XOR gate?
- How do I use Python and TensorFlow Placeholders?
See more codes...