Cassava leaf disease classification using deep learning and convolutional neural network ensemble

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliografiska uppgifter
Huvudupphovsmän:	Shahriar, Hasan, Shuvo, Protick Sarker, Fahim, Md. Saidul Haque, Sordar, Md Sobuj, Haque, Md Esadul
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2022
Ämnen:	Deep learning Cassava leaf Prediction Decision tree Xception Neural networks EfficientNet B0 Resnet 50 VGG16 Inception V3 DenseNet 121 Machine learning Cognitive learning theory (Deep learning) Neural networks (Computer science)
Länkar:	http://hdl.handle.net/10361/16633

Beskrivning
Sammanfattning:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Liknande verk