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.

Xehetasun bibliografikoak
Egile Nagusiak:	Shahriar, Hasan, Shuvo, Protick Sarker, Fahim, Md. Saidul Haque, Sordar, Md Sobuj, Haque, Md Esadul
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	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)
Sarrera elektronikoa:	http://hdl.handle.net/10361/16633

http://hdl.handle.net/10361/16633

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