Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks by Manpreet Singh Ghotra & Rajdeep Dua

Author:Manpreet Singh Ghotra & Rajdeep Dua [Ghotra, Manpreet Singh]
Language: eng
Format: epub
Tags: COM037000 - COMPUTERS / Machine Theory, COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM051360 - COMPUTERS / Programming Languages / Python
Publisher: Packt Publishing
Published: 2017-11-10T00:00:00+00:00

nextState = tf.tanh(tf.matmul(inputAndStateConcatenated, W) + bias1, name="next_state")

statesSeries.append(nextState)

currentState = nextState

# calculate loss

logits_series = [tf.matmul(state, W2) + bias2 for state in statesSeries]

predictions_series = [tf.nn.softmax(logits) for logits in logits_series]

losses = [tf.nn.sparse_softmax_cross_entropy_with_logits(labels=labels, logits=logits) for logits, labels in zip(logits_series,labelsSeries)]

total_loss = tf.reduce_mean(losses, name="total_loss")

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