July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Defining the network parameters
Next, we define all the network parameters:
- Define the number of units in the hidden layer:
hidden_size = 100
- Define the length of the input and output sequence:
seq_length = 25
- Define the learning rate for gradient descent:
learning_rate = 1e-1
- Set the seed value:
seed_value = 42tf.set_random_seed(seed_value)random.seed(seed_value)
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