added ino to pitch

PITCHME.md

@@ -1,4 +1,5 @@
-# Capacitive Electrodes: Signal Collection & Analysis
+# Capacitive Electrodes
+## Signal Collection & Analysis
 
 ---
 
@@ -8,63 +9,14 @@ rtbt.ino
 
 ![Press Down Key](img/down-arrow.png)
 
-+++
-
-
-
----
-
-### Softmax Implementation
-
-![Softmax](img/s1.png)
-
-![Press Down Key](img/down-arrow.png)
-
-+++
-
-### equation form
-![Softmax (equation form)](img/s1_eqns.png)
-
-![Press Down Key](img/down-arrow.png)
-
-+++
-
-### matrix form
-![Softmax (matrix form)](img/s1_matrices.png)
-
-![Press Down Key](img/down-arrow.png)
-
-+++
-
-### defining the model 
-
-```python
-x = tf.placeholder(tf.float32, [None, 784])
-W = tf.Variable(tf.zeros([784, 10]))
-b = tf.Variable(tf.zeros([10]))
-y = tf.nn.softmax(tf.matmul(x, W) + b)
-```
-
----
-
-## MNIST with SoftMax
-
-![Press Down Key](img/down-arrow.png)
-
-+++?code=mnist_softmax.py&lang=python
-
-@[16-20](tutorial source)
-@[21-27](various imports)
-@[28-29](load MNIST data)
-@[30](load TensorFlow API)
-@[32](FLAGS)
-@[35-37](import the (one-hot encoded) MNIST data)
-@[40-42](create variables, weights, and biases)
-@[43](matrix multiplication)
-@[46](output layer (predicted probabilities))
-@[57-58](define the loss function (measurement of incorrectness))
-@[59](define how we want to reduce loss (incorrectness) over time (stochastic gradient descent))
-@[61-62](start a session in TensorFlow)
-@[64-66](train network using above parameters on 10 sets of 100 images)
-@[69-71](check accuracy of predictions)
-@[74-79](run session)
++++?code=rtbt.ino&lang=c
+
+@[1-3](input and BT state)
+@[4-15](pin configuration)
+@[18-19](analog-input configuration)
+@[20](begin Bluetooth Serial)
+@[23-26](wait until BT connection established to begin serial transmission)
+@[33](read analog input)
+@[34](convert to mV)
+@[35-36](send voltage and timestamp over serial Bluetooth)
+@[37](delay to avoid serial saturation)