Topic: ann-model Goto Github
Some thing interesting about ann-model
Some thing interesting about ann-model
ann-model,Classifying one of seven different emotions on a person's face using machine learning and deep learning techniques.
User: anusha5824
ann-model,Automated Object Detection using VGG16 on an image dataset to extract features with Accuracy score of 95 %
User: beshoasham
ann-model,The Cell can certain features than help doctors to make decision whether you can a certain disease or not. ANN model will take long time for image classification and can only work in images concentrated in center. Here is how you do using CNN(Convolutional Neural Network). CNN is the expanded version of ANN.
User: kanchan88
ann-model,Application of Machine Learning models to predict Company Bankruptcy
User: lehongngoc3820
ann-model,A artificial neural network regression model
User: mahilaalmutairi
ann-model,Extractify is Multi-Class Bert-Classifier & ANN Linker Based JSON data extractor, Extractify API Takes Raw-Ocr Data & Classify & Maps Key-Value pairs which is Extremely useful in data extraction.
Organization: ml9-forces
Home Page: https://ml9-forces.github.io/extractify-doc/
ann-model,Extractify is Multi-Class Bert-Classifier & ANN Linker Based JSON data extractor, Extractify API Takes Raw-Ocr Data & Classify & Maps Key-Value pairs which is Extremely useful in data extraction.
Organization: ml9-forces
Home Page: https://ml9-forces.github.io/extractify-doc/
ann-model,ARTIFICAL INTELLIGENCE AND MACHINE LEARNING PRACTICE.
User: preeti-pradhan
ann-model,Portfolio of machine projects completed by me for academic and self learning purposes
User: ria3999
ann-model,Preprocessing a bank's customer Data and using an Artificial Neural Network to predict the customer churn rate.
User: srikanthv0610
ann-model,Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
User: tatevkaren
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