Update README.md

README.md

@@ -1 +1,19 @@
-# Product_Review_Keras_Model
+### Product_Review_Keras_Model
+### Install Tensorflow == 1.2.0
+#### IMDB - review
+##### Description:
+##### Large Movie Review Dataset. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well.
+
+##### Homepage: http://ai.stanford.edu/~amaas/data/sentiment/
+##### Source code: tfds.text.imdb.IMDBReviews
+##### Versions:1.0.0 (default): New split API (https://tensorflow.org/datasets/splits)
+##### Download size: 80.23 MiB
+##### Dataset size: Unknown size
+##### Auto-cached (documentation): No
+##### Splits:
+##### Split	Examples: 'test'	25,000, 'train'	25,000, 'unsupervised'	50,000, Supervised keys (See as_supervised doc): ('text', 'label')
+###### import tensorflow_datasets as tfds
+
+###### ds = tfds.load('imdb_reviews', split='train')
+###### for ex in ds.take(4):
+######   print(ex)