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tf.keras.datasets (e.g. MNIST, CIFAR-10, CIFAR-100, Fashion MNIST) - Python Automation and Machine Learning for ICs - - An Online Book - |
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| Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
| Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= TensorFlow provides various datasets through its tf.keras.datasets module. The MNIST dataset is a commonly used dataset for handwritten digit recognition, but there are other datasets available as well, such as CIFAR-10, CIFAR-100, Fashion MNIST, and more. Each dataset is preloaded with a set of images and labels to facilitate machine learning tasks. An example of a neural network using TensorFlow and the MNIST dataset for digit classification is code as seen in page3543 and as shown in the sample images from MNIST test dataset below:
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