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
Recently, I encountered a bottleneck in the training of deep learning models. The most important aspect is the speed of training.
Read More »[Linux] Store the data into RAM disk to speed up the program
Jupyter Notebook is a Python Editor (?) or you may think it is like an IDE, which is implemented by IPython.
Read More »[Linux] How to use remote Jupyter Notebook via SSHToday, 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
Cifar-10 is dataset like "MNIST", it have 60000 pictures, 10 types. One of types have 6000 pictures. 50000 training data and 10000 test data.
Read More »[Keras] Build a CNN model to classify Cifar-10
Cosine Similarity is a common calculation method for calculating text similarity. The basic concept is very simple, it is to calculate the angle between two vectors.
Read More »How to calculate Cosine Similarity (With code)
Today, when I copying some data from my computer to my USB flash drive, I got an error: "File too large".
Read More »[Solved][Linux] An error "File too large" happened when we put data in USB flash driveThere are many kinds of compression instructions in Linux., sometimes it's really difficult to remember all.
Read More »[Linux] Compression, Encrypted compression, Split compression, Decompression
