Tyler Angert tangert

## lstm-trial-1.json
{"class_name": "Sequential", "config": {"name": "sequential_2", "layers": [{"class_name": "LSTM", "config": {"name": "lstm_2", "trainable": true, "batch_input_shape": [null, 32, 1], "dtype": "float32", "return_sequences": false, "return_state": false, "go_backwards": false, "stateful": false, "unroll": false, "units": 128, "activation": "tanh", "recurrent_activation": "hard_sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "recurrent_initializer": {"class_name": "Orthogonal", "config": {"gain": 1.0, "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "unit_forget_bias": true, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 1}}, {"class_name": "Dropout", "config":

## data.json
{
    "name": "Transcript data",
    "children": [
         {
         "name": "Cluster 1",
         "children": [
            {"name":  "tilted", "size": 0.767 },
            {"name":  "towards", "size": 0.199 },
            {"name":  "away", "size": 0.186 },
            {"name":  "north", "size": 0.098 },

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## test.py
print("hello world")
	{
	"name": "Transcript data",
	"children": [
	{
	"name": "Cluster 1",
	"children": [
	{"name": "tilted", "size": 0.767 },
	{"name": "towards", "size": 0.199 },
	{"name": "away", "size": 0.186 },
	{"name": "north", "size": 0.098 },