Created
October 24, 2019 13:13
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| x = tf.expand_dims(id[0], 0) | |
| # Initialize the weight | |
| w_init = tf.initializers.glorot_normal() | |
| w = tf.Variable(w_init(shape=(2, 1), dtype=tf.float32)).send(alice) | |
| z = tf.matmul(x, w) | |
| # Manual differentiation & update | |
| dzdx = tf.transpose(x) | |
| w.assign_sub(dzdx) | |
| print("Updated: ", w.get()) |
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