PREDICTION OF GENDER FROM FACIAL IMAGE USING DEEP LEARNING TECHNIQUES
نویسندگان
چکیده
منابع مشابه
Prediction of Student Learning Styles using Data Mining Techniques
This paper focuses on the prediction of student learning styles using data mining techniques within their institutions. This prediction was aimed at finding out how different learning styles are achieved within learning environments which are specifically influenced by already existing factors. These learning styles, have been affected by different factors that are mainly engraved and found wit...
متن کاملInfant Head Circumference Measurement Using Deep Learning Techniques
Infant's head circumference measurement and and its growth monitoring plays a crucial role in diagnosis the diseases which cause a deformation in the infant's head. Due to the fact that the contact measurement, which is performed using a tape measure and a caliper, has problems such as transmitting disease, infecting, not comfortable and disruption relaxing the baby, going to non-contact measur...
متن کاملVisual Saliency Prediction using Deep learning Techniques A Degree Thesis
........................................................................................................................... 1 Resum .............................................................................................................................. 2 Resumen .......................................................................................................................... 3 Ack...
متن کاملImage Recognition with Deep Learning Techniques
This paper investigates a Deep Learning (DL) approach for image recognition. We have considered two DL neural models: Convolutional Neural Network (CNN) and Deep Belief Network (DBN). We have chosen several architectures for each of the proposed models. We have chosen Caltech101 dataset to train and test the above proposed models; this database is composed by images belonging to 101 widely vari...
متن کاملToxicity Prediction using Deep Learning
Everyday we are exposed to various chemicals via food additives, cleaning and cosmetic products and medicines — and some of them might be toxic. However testing the toxicity of all existing compounds by biological experiments is neither financially nor logistically feasible. Therefore the government agencies NIH, EPA and FDA launched the Tox21 Data Challenge within the “Toxicology in the 21st C...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES
سال: 2020
ISSN: 0973-8975,2454-7190
DOI: 10.26782/jmcms.2020.02.00010