(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 7808, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_851'}
Auto-tuning the model by a factor of 1.0272218238149782
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 9988, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_321'}
Auto-tuning the model by a factor of 1.0603385252448219
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 3355, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_669'}
Auto-tuning the model by a factor of 1.0248605224939782
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 8038, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_962'}
Auto-tuning the model by a factor of 1.042986041927562
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 3194, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_600'}
Auto-tuning the model by a factor of 1.0218043112317547
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 7495, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_668'}
Auto-tuning the model by a factor of 0.9911316533152876
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 8900, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_663'}
Auto-tuning the model by a factor of 1.0240818627441237
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 1279, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_578'}
Auto-tuning the model by a factor of 1.039705661400643
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 4775, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_414'}
Auto-tuning the model by a factor of 0.9385997808519776
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 9926, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_460'}
Auto-tuning the model by a factor of 0.9732665166135775
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 9844, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_292'}
Auto-tuning the model by a factor of 0.9920736851539165
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 8689, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_269'}
Auto-tuning the model by a factor of 1.0705440882729964
Memory saved to machine_dream_memory.json
(base) codephreak@automind-EX58-UD3R:~/Desktop$ python3 machinedream.py
Dream Insights: {'dream_id': 2468, 'problem_parsed': {'knowledge': ['Optimize', 'neural', 'network', 'hyperparameters', 'for', 'image', 'classification']}, 'solution_chosen': 'Solution_920'}
Auto-tuning the model by a factor of 0.9798179803347329
Memory saved to machine_dream_memory.json
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The question is not will the machine dream, the question is; What will the machine dream?
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