Now, we will see how to build a basic neural network using TensorFlow, which predicts handwritten digits. We will use the popular MNIST dataset which has a collection of labeled handwritten images for training.
First, we must import TensorFlow and load the dataset from tensorflow.examples.tutorial.mnist:
import tensorflow as tffrom tensorflow.examples.tutorials.mnist import input_datamnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
Now, we will see what we have in our data:
print("No of images in training set {}".format(mnist.train.images.shape))print("No of labels in training set {}".format(mnist.train.labels.shape))print("No of images in test set {}".format(mnist.test.images.shape))print("No of ...
