
How to interpret loss and accuracy for a machine learning model
Then your learning algorithm (e.g. gradient descent) will find a way to update b1 and b2 to decrease the loss. What if b1=0.1 and b2=-0.03 is the final b1 and b2 (output from gradient descent), what is the accuracy now?
machine learning - What is the meaning of the word logits in …
2017年1月4日 · In Chapter 10 of the book Hands-on Machine Learning with Scikit-learn and TensorFLow by Aurélien Géron, I came across this paragraph, which stated logits layer clearly. note that logits is the output of the neural network before going through the softmax activation function: for optimization reasons, we will handle the softmax computation later.
machine learning - Is there a rule-of-thumb for how to divide a …
I’m voting to close this question because Machine learning (ML) theory questions are off-topic on Stack Overflow - gift-wrap candidate for Cross-Validated – Daniel F Commented Feb 10, 2021 at 13:49
machine learning - What is a multi-headed model? And what …
2019年5月6日 · What is a multi-headed model in deep learning? The only explanation I found so far is this: Every model might be thought of as a backbone plus a head, and if you pre-train backbone and put a rando...
Retraining an existing machine learning model with new data
2018年11月29日 · What you are looking for is incremental learning, there is an excellent library called creme which helps you with that. All the tools in the library can be updated with a single observation at a time, and can therefore be used to learn from streaming data. Here are some benefits of using creme (and online machine learning in general):
How big should batch size and number of epochs be when fitting …
2022年4月14日 · The batch size should pretty much be as large as possible without exceeding memory. The only other reason to limit batch size is that if you concurrently fetch the next batch and train the model on the current batch, you may be wasting time fetching the next batch (because it's so large and the memory allocation may take a significant amount of time) when …
machine learning libraries in C# - Stack Overflow
There is a popular, open-source C# machine learning framework called Accord.NET and here is its webpage: accord-framework.net – James Ko Commented Feb 24, 2018 at 4:36
Newest 'machine-learning' Questions - Stack Overflow
I am training a machine learning model to classify Alzheimer's disease into four categories. After running the training epochs, I used code to save the model in a .pth file. However, after downloading ...
machine learning - What is an Epoch in Neural Networks Training
The number of epochs is a hyperparameter that defines the number times that the learning algorithm will work through the entire training dataset. One epoch means that each sample in the training dataset has had an opportunity to update the internal model parameters.
Best machine learning approach to automate text/fuzzy matching
The simplest learning function would be finding the Edit Distance threshold that maximizes your score. You can also add parameters like: "remove Corp.", "remove Ltd", etc. and find what combination works best.