{ "model_type": "sign_language_recognition", "framework": "tensorflow", "max_len": 384, "dim": 192, "num_classes": 60, "dropout_start_epoch": 15, "batch_size": 32, "learning_rate": 0.0005, "weight_decay": 0.1, "epochs_trained": 200, "input_shape": [ null, 384, 708 ], "output_shape": [ null, 60 ], "total_params": 1763418, "sign_classes": { "go": 0, "hot": 1, "dad": 2, "yes": 3, "no": 4, "sick": 5, "mom": 6, "cut": 7, "stuck": 8, "outside": 9, "talk": 10, "arm": 11, "up": 12, "person": 13, "can": 14, "close": 15, "face": 16, "head": 17, "mad": 18, "wait": 19, "eye": 20, "hide": 21, "home": 22, "why": 23, "quiet": 24, "will": 25, "glasswindow": 26, "not": 27, "fireman": 28, "down": 29, "child": 30, "hesheit": 31, "find": 32, "jump": 33, "where": 34, "room": 35, "look": 36, "high": 37, "hear": 38, "now": 39, "time": 40, "open": 41, "fall": 42, "owie": 43, "drop": 44, "man": 45, "give": 46, "car": 47, "fast": 48, "bad": 49, "have": 50, "stairs": 51, "who": 52, "cry": 53, "loud": 54, "haveto": 55, "water": 56, "see": 57, "police": 58, "touch": 59 }, "created_at": "2025-07-10T07:14:08.417702" }