20240046104. INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD simplified abstract (Preferred Networks, Inc.)
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INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD
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INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240046104 titled 'INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD
Simplified Explanation
The abstract describes an information processing device that efficiently executes machine learning. The device includes an obtaining unit that obtains a source code defining the forward processing of each layer in a neural network. It also includes a storage unit that stores the association relationship between each forward processing and its associated backward processing. The device further includes an executing unit that executes each code in the source code, calculates the output value of the forward processing based on the input value, and generates a reference structure for backward processing in the associated layer based on the stored association relationship.
- The device efficiently executes machine learning by obtaining and executing source code that defines the forward processing of each layer in a neural network.
- It stores the association relationship between forward processing and its associated backward processing.
- It calculates the output value of the forward processing based on the input value and generates a reference structure for backward processing in the associated layer.
Potential applications of this technology:
- Machine learning and artificial intelligence systems
- Neural network training and optimization
- Data analysis and pattern recognition
Problems solved by this technology:
- Inefficient execution of machine learning algorithms
- Lack of association between forward and backward processing in neural networks
- Difficulty in generating reference structures for backward processing
Benefits of this technology:
- Improved efficiency in executing machine learning algorithms
- Enhanced training and optimization of neural networks
- More accurate data analysis and pattern recognition
Original Abstract Submitted
there is provided an information processing device which efficiently executes machine learning. the information processing device according to one embodiment includes: an obtaining unit which obtains a source code including a code which defines forward processing of each layer constituting a neural network; a storage unit which stores an association relationship between each forward processing and backward processing associated with each forward processing; and an executing unit which successively executes each code included in the source code, and which calculates an output value of the forward processing defined by the code based on an input value at a time of execution of each code, and generates a reference structure for backward processing in a layer associated with the code based on the association relationship stored in the storage unit.
