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@jychstar
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
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.