000			01513nam a22001577a 4500
008			220805b2021 |||||||| |||| 00| 0 eng d
020			_a9789391043827
082			_a006.31 TUN-K
100			_aTung, K.C.
245			_aTensorFlow2 pocket reference : _bbuilding and deploying machine learning models / _cK C Tung
260			_aIndia _bShroff Publishers _c2021
300			_a237p.
365			_aINR _b550.00
500			_a This easy-to-use reference for Tensorflow 2 pattern designs in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow. When and why would you feed training data as NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pre-trained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce your time searching through options for your TensorFlow use cases. Understand best practices in Tensorflow model patterns and ML workflows. Use code snippets as templates in building TensorFlow models and workflows. Save development time by integrating pre-built models in TensorFlow Hub. Make informed design choices about data ingestion, training paradigms, model saving, and inferencing. Address common scenarios such as model design style, data ingestion workflow, model training, and tuning.
650			_aMachine learning
999			_c79861 _d79861