TensorFlow Data Pipeline. Practical tutorial.

Web Reference: Jul 31, 2018 · I have noticed that some newer TensorFlow versions are incompatible with older CUDA and cuDNN versions. Does an overview of the compatible versions or even a list of officially tested combinations ... October 2020 update: Tensorflow now supports Python 3.5.x through Python 3.8.x, but you still have to use a 64-bit version. If you need to run multiple versions of Python on the same machine, you can use a virtual environment to help manage them. Nov 24, 2022 · Tensorflow 2.12 has been released with python 3.11 support, so you can now consolidate your python installations and package setups

YouTube Excerpt: In this video we are going to see how to build the TensorFlow data pipeline, and how to use different methods of tf.data.dataset, such as batch, repeat, shuffle, window, map, apply and etc. 00:09 what is tf.data pipeline 01:15 create dataset using from_tensor_slices 01:45 as_numpy_iterator method 02:12 take method 02:18 batch method 03:15 unbatch method 03:38 repeat method 04:00 cardinality method 04:55 shuffle method 07:40 map method 08:45 apply method 09:40 reduce method 10:08 filter method 10:48 concatenate method 10:59 zip method 11:33 window method 12:34 window method example: build an input for rnn network Source code: https://github.com/CloseToAlgoTrading/CodeFromVideo/tree/master/Episode_21_tf_data_dataset_tutorial TensorFlow tutorial: https://www.tensorflow.org/api_docs/python/tf/data/Dataset If you want to support this channel: https://commerce.coinbase.com/checkout/e47393db-561b-41bb-a5f7-c5f913af87f9

In this video we are going to see how to build the TensorFlow data pipeline, and how to use different methods of tf.data.dataset, such as batch,...

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