Software Development
TensorFlow Deep Learning
Best practices for building, training, evaluating, and deploying neural networks with TensorFlow and Keras. Use when writing tf.data input pipelines, defining or training a Keras model, configuring callbacks for checkpointing and early stopping, evaluating a trained model, or exporting a model for serving.
- Publisher / source
- Mindrally/skills (found on skills.sh)
- Upstream record
- Mindrally/skills
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
28c6716dad0d7764275aaa3d8e1c8130add30b34e3adf4e5a3180f4169df154d