Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Your browser does not support the audio element. Machine learning has revolutionized various industries, from healthcare to e-commerce, and it's no surprise that ...
In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
Abstract: In numerous applications, including image retrieval, brand monitoring, and counterfeit identification, the detection and categorization of logos play pivotal roles. This study proposes a ...
stale stat:awaiting response from contributor type:featureThe user is asking for a new feature.The user is asking for a new feature. will you be possibly interested in donating to Keras core ...
This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication for the ...
Abstract: The primary objective of the proposed model is that the most of the world's poorest individuals reside in areas where national domestic assessments are used to gather info on deficiency. It ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Research and Implementation of Traffic Sign Recognition Algorithm Model Based on Machine Learning ()
1 College of Engineering and Computing, Florida International University, Miami, USA. 2 College of Intelligent Equipment, Shandong University of Science and Technology, Qingdao, China. 3 Steven J.
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