I’ve experimented how standardization affect a binary segmentation model’s performance by comparing 2 outputs. Inference result from model trained with standardization using ImageNet RGB mean and standard deviation Inference result from model trained without standardization I’ve found out that the…
When I was evaluating the model, both f1 score and jaccard score, for some reason, was decreasing as the model finishes more epochs. (Which is quite insane.) I’ve been checking the dimensions of the variables I was using to calculate…
In the book Understanding Michael Porter, the author introduces Porter’s 5 forces that impact profitability. Substitutes Threat of New Entry Buyer Power Rivalry Supplier Power The diagram depicts how.
Here is how you can debug your model using vscode. Install python extension (The one that has more than 57 million downloads) Select python interpreter. If you are using a virtual environment, select the python.exe inside of your virtual environment…
When testing out your model’s output for computer vision tasks, you’ll need to apply the same preprocessing methods you’ve applied during training, to the images you want to test out. Here is one way to implement. Import Images from PIL…
Depending on the loss function, you might need to change the data structure of the tensor coming out from the model. In my case, I’m currently doing a binary semantic segmentation using pytorch, and the output of the model is…
I’ve learned that, for semantic segmentation, the Binary Cross Entropy as the loss function, instead of MSE, might be the one to first test out. Motivation When you check the derivative for MSE(Mean Squared Error)’s cost function, you’ll notice that…
Labeling 3d data points manually can be time-consuming and has a high chance of mistaking. So instead of labeling each point like the picture on the left side, using clustering can help you group similar data points first and then…
These are my top 3 takeaways from the book Four Thousand Weeks by Oliver Burkeman From thinking about time in the abstract, separating ‘time’ and ‘life’, it’s natural to start treating it as a resource, something to be bought and…
Deciding a metric when evaluating a ML project can be difficult. From an engineer’s perspective, they might want to optimize, word-level accuracy or query-level accuracy. On the other hand, for a businessmen’s perspective, they’d rather focus on revenue and user-engagement.…