PyTorch Tutorials and Examples for Beginners

In this tutorial, we will discuss the difference between model.zero_grad() and optimizer.zero_grad() when we are training an model.

Swish activation function is proposed in comformer model. In this tutorial, we will introduce how to implement in pytorch.

In this tutorial, we will create an example to show you how to create a wrapper class of torch.nn.Linear().

Pytorch torch.unbind() function can remove a tensor dimension and return a tuple. In this tutorial, we will use some examples to show you how to use it.

Pytorch torch.range() and torch.arange() can generate a 1-D tensor. In this tutorial, we will disucss the difference between them.

When we are using transformers, we may get this error: ValueError: tensorflow.__spec__ is None. In this tutorial, we will introduce you how to fix it.

In this tutorial, we will introduce how to fix PytorchStreamReader failed reading zip archive: failed finding central directory when using torch.load().

In this tutorial, we will introduce you how to read an audio with specific sampling rate in torchaudio. It is very useful for audio processing.

In this tutorial, we will introduce how to resample an audio in torchaudio. It is very important when we are processing audio data.

In this tutorial, we will use some examples to introduce how to read an audio file using torchaudio.load()