gradients_vars = optimizer.compute_gradients(loss, LAYERS_WIEGHTS)
grads = [grad for grad, var in gradients_vars]
train_step = optimizer.apply_gradients(gradients_vars)
Hi, in this code, I see that the final gradients is gradients_vars, not grads.
Is this correct? (Although I see that you have a feed_dict of modified grad)
Hi, in this code, I see that the final gradients is gradients_vars, not grads. Is this correct? (Although I see that you have a feed_dict of modified grad)