| { | |
| "model": { | |
| "type": "liquid-generative-cognitive-recurrent-attentive-adversarial-progressive-neural-network", | |
| "num_layers": 360, | |
| "num_neurons_per_layer": 10000, | |
| "num_parameters": 1_200_000_000, | |
| "self_reflection_layer": true, | |
| "emotional_intelligence_layer": true, | |
| "reasoning_layer": true, | |
| "logic_layer": true, | |
| "self_attention_layer": true, | |
| "deep_learning": true, | |
| "transfer_learning": true, | |
| "deep_reinforcement_learning": true, | |
| "unsupervised_learning": true, | |
| "self_learning": true, | |
| "contextual_awareness": true, | |
| "self_cognition": true, | |
| "internet_access": true, | |
| "use_knowledge_distillation": true, | |
| "use_creativity_layer": true, | |
| "use_attention_pooling": true, | |
| "use_hierarchical_representation": true, | |
| "batch_size": 640 | |
| }, | |
| "training": { | |
| "dataset": "/path/to/dataset.json", | |
| "epochs": 2000, | |
| } | |
| } | |