![[Neurocle] Logo_white.png](https://static.wixstatic.com/media/242158_0a4304ae861e4107925bc861d88c280f~mv2.png/v1/fill/w_150,h_21,al_c,q_85,usm_0.66_1.00_0.01,enc_avif,quality_auto/%5BNeurocle%5D%20Logo_white.png){kind=small}
Learn
Learning essential concepts and terms
Neurocle software allows you to study the most basic knowledge for applying computer vision in industries. Learn the basics of deep learning such as search algorithms, knowledge representation, reasoning for problem-solving, pattern recognition, and neural networks.
Exploring data processing
Learn how to manage data sets for creating deep learning models using Neurocle software. Get familiar with processing data in a form suitable for training.
Understanding AI models
Understand the characteristics of the six AI model types* through our software. Develop the ability to choose the appropriate type of model for different projects.
*6 types of AI models: Classification, Segmentation, Object Detection, Anomaly Detection, Optical Character Recognition (OCR), and Rotation.
Understanding hyperparameters
Adjust hyperparameters* for optimal model implementation, identifying the characteristics and typical considerations for each hyperparameter through the process.
*Various factors that determine the performance of a deep learning model (ex; learning rate, cost function, mini-batch size, hidden unit)
Understanding and analyzing model performance indicators
Evaluate and analyze the performance of the created model.
