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jychstar / tensorboard_beginner.py

Created June 5, 2017 00:06

simple example to show how to use `tf.summary` to record image, scalar, histogram and graph for display in tensorboard

	import argparse
	import sys

	from tensorflow.examples.tutorials.mnist import input_data
	from time import time
	t0 = time()

	import tensorflow as tf

	tf.summary.FileWriterCache.clear()

swyoon / np_to_tfrecords.py

Last active September 11, 2024 08:28

From numpy ndarray to tfrecords

	import numpy as np
	import tensorflow as tf

	__author__ = "Sangwoong Yoon"

	def np_to_tfrecords(X, Y, file_path_prefix, verbose=True):
	"""
	Converts a Numpy array (or two Numpy arrays) into a tfrecord file.
	For supervised learning, feed training inputs to X and training labels to Y.
	For unsupervised learning, only feed training inputs to X, and feed None to Y.