i wrote simple nn tensorflow actuate real robotic finger. problem is, after training hour, seemed has little bit learned in direction go, when @ weights in tensorboard, seemed 2 values gets updated, other values stay around 0 (to initialzed) ? here code: https://github.com/flobotics/flobotics_tensorflow_controller/blob/master/nodes/listener.py the loss decreasing should, looks good, if isnt :) edit: tried minimize code this, hope ok ? num_states = 200+200+1024+1024 #200 degree angle_goal, 200 possible degrees joint move, 1024 force values, 2 times num_actions = 9 #3^2=9 ,one stop-state, 1 different speed left, 1 diff.speed right, 2 servos session = tf.session() build_reward_state() state = tf.placeholder("float", [none, num_states]) action = tf.placeholder("float", [none, num_actions]) target = tf.placeholder("float", [none]) weights = tf.variable(tf.truncated_normal([num_states, num_actions], mean=0.1, stddev=0.02, dtype=tf.float3...