If you are familiar with the deep learning and its environment, you may often hear “CUDA“. Before we starting to train our model, maybe we need to install GPU driver, CUDA and cuDNN toolkits. They can make our training have the best effect.
Read More »Easy way to remove CUDA
It needs to be stated in advance that the teaching of this article is learning from: https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606. You can also go directly to that website to learn.
Read More »[Machine Learning][Python] The simplest object recognition package: ImageAI
Today when I reading the document of the “Transformers” package which Hugging Face developed, I suddenly discovered the model I build, its state is “eval()”, not “train()”. It seems that as long as we use “from_pretrained()” method is the default state “eval()”.
Read More »[PyTorch] How to check the model state is “train()” or “eval()” This is very common error message in PyTorch.
RuntimeError: bool value of Tensor with more than one value is ambiguousWhen I using PyTorch to train a model, I often use GPU_A to train the model, save model. But if I load the model I saved to test some new data, I always put the new data in a different GPU, we called it GPU_B.
Read More »[PyTorch] How to check which GPU device our data used When we using the famous Python framework: PyTorch, to build our model, if we can visualize our model, that’s a cool idea.
In this way, we can check our model layer, output shape, and avoid our model mismatch.
Read More »[PyTorch] Using “torchsummary” to plot your model structure I think if we use Pytorch framework to train a model, the commonly error messages are “Model mismatch” and the following error:
Read More »[Solved][PyTorch] RuntimeError: Expected object of scalar type Float but got scalar type Long for argument Today, when I using PyTorch to build a LSTM model, I got an error occured:
LSTM RuntimeError: input must have 3 dimensions, got 2Today, when I load a model I trained with PyTorch and I want to use it to process some new data, I got a error report:
Read More »[Solved] RuntimeError: Input and parameter tensors are not at the same device, found input tensor at cpu and parameter tensor at cuda:0
Today, if we need to split our data for training our model —— we need to split training data and test data. We use “training data” to train our model and check it never peep our “test data”, it is very important, because our “test data” can assess the quality of our model.
Read More »[Scikit-Learn] Using “train_test_split()” to split your data