tf_conf.json

{"input_layer": {"x": [-1, 512, 40, 1]}, "convolutional_layer_1": {"filters": 323, "kernel_size": [5, 5], "padding": "same same"}, "convolutional_layer_2": {"filters": 64, "kernel_size": [52], "padding": "same"}, "pooling_layer_1": {"pool_size": [2, 2, 3], "stride": 2}, "pooling_layer_2": {"pool_size": [2, 2], "stride": 3}, "dense_layer": {"reshape": [-1, 128, 10, 64], "units": 1024, "dropout_rate": 0.4}, "predictions": {"probabilities": "softmax_tensor", "every_n_iter": 50}, "estimator": {"gradient_descent_optimizer": 0.001, "model_dir": "'/tmp/birds_audio_convnet_model'"}, "input_matrices": {"hop": 20, "window": 40}, "sample_obj": {"string": "some_string", "nested_sample_obj": {"some_array": [77, 31, 234], "whatever": "some other"}}, "train_input_fn": {"batch_size": 100, "num_epochs": "None", "shuffle": "True"}, "bird_classifier_train": {"steps": 20000}, "eval_input_fn": {"num_epochs": 1, "shuffle": "False"}}