No Module named Tensorflow.examples | Access MNIST DATA | solved problem

If you have encountered the error message “No Module named Tensorflow.examples” while trying to access MNIST data in TensorFlow, you are not alone. Many users have faced this issue, but there is a simple solution to fix it.

Solution

To resolve the error, you need to update your code to use the new API for accessing the MNIST data. The TensorFlow team has made changes to the library, and the old way of importing the examples module no longer works.

Instead of using “from tensorflow.examples.tutorials.mnist import input_data,” you should now use the following code:


import tensorflow as tf
(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()


This code snippet will download the MNIST dataset and load it into NumPy arrays, which you can then use in your machine learning models.

Conclusion

By updating your code to use the new API for accessing the MNIST data in TensorFlow, you can avoid the “No Module named Tensorflow.examples” error and continue working on your machine learning projects without any interruptions. Remember to always check the official TensorFlow documentation for the latest updates and best practices.