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hypes.json
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/
hypes.json
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{
"model": {
"dataset_file": "../dataset.py",
"architecture_file" : "architect.py",
"objective_file" : "../objective.py",
"optimizer_file" : "../optimizer.py",
"evaluator_file" : "../evaluator.py"
},
"data": {
"train_file": "../../TFRecords/udacity/train.tfrecord",
"val_file": "../../TFRecords/udacity/val.tfrecord",
"truncated": false
},
"logging": {
"display_iter": 5,
"eval_iter": 50,
"save_iter": 100
},
"solver": {
"opt": "Adam",
"rnd_seed": 1,
"use_jitter": false,
"learning_rate_step": null,
"epsilon": 1e-5,
"learning_rate": 1e-4,
"max_steps": 14000,
"batch_size": 1024,
"num_threads": 8
},
"keep_prob": 0.8,
"clip_norm": -1,
"image_height": 66,
"image_width": 200,
"initializer": "truncated_normal",
"reg_strength": 1e-3,
"color_space": null,
"crop": 400,
"preprocess": [],
"augment_level": -1
}