When working with complex PyTorch models, it's important to understand the model's structure, such as the number of parameters and the shapes of input and output on each layer. This...
PyTorch
One important thing of working with PyTorch is specifying the device on which tensors and models should be located, such as CPU or GPU. Setting the default device globally in...
Knowing the device (e.g. CPU, GPU) on which a PyTorch model is located is useful for several reasons, such as hardware resource management, performance optimization, compatibility and portability, resource allocation...
When working with PyTorch, knowing the number of parameters in the model is important for various reasons, such as model optimization, memory management, and performance evaluation. This knowledge helps to...
Torchvision is a popular computer vision library in PyTorch that offers various pre-trained models. These models can be a convenient starting point for building computer vision applications. By understanding the...
Simple linear regression is a statistical method that is used to analyze the relationship between two continuous variables:
x - independent variable also known as explanatory or predictor.
y...