import input_data MNIST tensorflow not working

Question

TensorFlow MNIST example not running with fully_connected_feed.py

I checked this out and realized that input_data was not built-in. So I downloaded the

Answer 1

I might be kinda late, but for tensorflow version 0.12.1, you might wanna use input_data.read_data_sets instead.

Basically using this function to load the data from your local drive that you had downloaded from http://yann.lecun.com/exdb/mnist/.

from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets('data_set/')

Answer 2

If you're using Tensorflow 2.0 or higher, you need to install tensorflow_datasets first:

pip install tensorflow_datasets

or if you're using an Anaconda distribution:

conda install tensorflow_datasets

from the command line.

If you're using a Jupyter Notebook you will need to install and enable ipywidgets. According to the docs (https://ipywidgets.readthedocs.io/en/stable/user_install.html) using pip:

pip install ipywidgets
jupyter nbextension enable --py widgetsnbextension

If you're using an Anaconda distribution, install ipywidgets from the command line like such:

conda install -c conda-forge ipywidgets

With the Anaconda distribution there is no need to enable the extension, conda handles this for you.

Then import into your code:

import tensorflow_datasets as tfds
mnist = tfds.load(name='mnist')

You should be able to use it without error if you follow these instructions.

Answer 3

There's now a much easier way to load MNIST data into tensorflow without having to download the data by using Tensorflow 2 and Tensorflow Datasets

To get started, make sure you import Tensorflow and specify the 2nd version:

%tensorflow_version 2.x
import tensorflow as tf

Then load the data into a dictionary using the following code:

MNIST_data = tfds.load(name = "mnist")

and Then split the data into train and test:

train, test = MNIST_data['train'] , MNIST_data['test']

Now you can use these data generators however you like.

Answer 4

As TensorFlow official website shown, All MNIST data is hosted on http://yann.lecun.com/exdb/mnist/

Answer 5

Remove the lines:

from tensorflow.examples.tutorials.mnist import input_data
fashion_mnist = input_data.read_data_sets('input/data',one_hot=True)

and the line below will suffice:

fashion_mnist = keras.datasets.fashion_mnist

Note that if the dataset is not available in the examples built-in to the keras, this will download the dataset and solve the problem. :)

Answer 6

For TensorFlow API 2.0 the mnist data changed place to: tf.keras.datasets.mnist.load_data