GitHub - pradumnk/Hardware-Implementation-of-a-ML-model: This is a FPGA application of a Machine Learning model which was based on ANN and CNN on the FPGA. The hardware architecture designed is much faster than standard design. Python is used for training purposes which was one time whereas rest of all the model is implemented in Verilog.

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This is a FPGA application of a Machine Learning model which was based on ANN and CNN on the FPGA. The hardware architecture designed is much faster than standard design. Python is used for training purposes which was one time whereas rest of all the model is implemented in Verilog.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
QFlow/Image_Classifer		QFlow/Image_Classifer
Quartus/EE705_Project2_ImageClassifier		Quartus/EE705_Project2_ImageClassifier
.gitignore		.gitignore
Project_ML_Model.ipynb		Project_ML_Model.ipynb
Seminar_PPT_213070055-converted.pdf		Seminar_PPT_213070055-converted.pdf
Summary.pdf		Summary.pdf