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{
    "info": {
        "description": "COCO 2017 Dataset",
        "url": "http://cocodataset.org",
        "version": "1.0",
        "year": 2017,
        "contributor": "COCO Consortium",
        "date_created": "2017/09/01"
    },

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import tensorflow as tf

# Define Keras model

inputs = tf.keras.Input(shape=(3,))
x = tf.keras.layers.Dense(4, activation=tf.nn.relu)(inputs)
outputs = tf.keras.layers.Dense(5, activation=tf.nn.softmax, name='output_name')(x)
model = tf.keras.Model(inputs=inputs, outputs=outputs)

# Train it

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CREATE TABLE IF NOT EXISTS `transactions` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `transactiontoken` varchar(200) NOT NULL,
  `invoiceid` varchar(20) NOT NULL,
  `itemname` varchar(100) NOT NULL,
  `itemdesc` varchar(100) NOT NULL,
  `itemamount` int(10) NOT NULL,
  `applicationfee` varchar(11) NOT NULL,
  `buyeremail` varchar(300) NOT NULL,
  `timestamp` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,