gistfile1.txt

#MSE
loss=tf.reduce_mean(tf.square(outputs-y))
optimizer=tf.train.AdamOptimizer(learning_rate=learning_rate)

train=optimizer.minimize(loss)

init=tf.global_variables_initializer()


x_new=np.sin(np.array(train_inst[:-1].reshape(-1,num_time_steps,num_inputs)))

#If using GPU, specify the fraction oof memory to be consumed
#gpu_options=tf.GPUOptions(per_process_gpu_memory_fraction=0.75)