Personal Information
Occupation
Professor
Industry
Education
Website
punndeeplearningblog.com/
About
My research areas are: Machine Learning, Deep Learning, Biomedical Image Analysis and related applications.
In my opinion, there is no limit to the research, however, the only limit is yourself.
Tags
neural networks
machine learning
deep learning
data transformation
loss functions
model optimization
histograms of intensity values
model interpretation
python programming
performance metrics
image preprocessing
covid-19 cxr dataset
gradcam visualization
tensorboard
data visualization
model testing
model training
multi-class classification
binary classification
pytorch
easy implementation
research paper sources
repository links
practical implementation
black box problem
github code
improved decision making
convolution neural network
segmentation
classification
computer vision
rationale of the predictions
explainability of models
code snippets
visualization
interpretability
ai
See more
Personal Information
Occupation
Professor
Industry
Education
Website
punndeeplearningblog.com/
About
My research areas are: Machine Learning, Deep Learning, Biomedical Image Analysis and related applications.
In my opinion, there is no limit to the research, however, the only limit is yourself.
Tags
neural networks
machine learning
deep learning
data transformation
loss functions
model optimization
histograms of intensity values
model interpretation
python programming
performance metrics
image preprocessing
covid-19 cxr dataset
gradcam visualization
tensorboard
data visualization
model testing
model training
multi-class classification
binary classification
pytorch
easy implementation
research paper sources
repository links
practical implementation
black box problem
github code
improved decision making
convolution neural network
segmentation
classification
computer vision
rationale of the predictions
explainability of models
code snippets
visualization
interpretability
ai
See more