Author: Deep Learner
Maths of Word-to-Vec
Calculating the gradients in back propagation.
Read moreASR state-of-the-art: Wav2Vec, Whisper, DeepSpeech
In this tutorial we are gonna cover three state-of-the-art models for ASR and infer them on stuttering speech. It’s important that current ASR systems used in voice assistants understand all types of speech so people with such phenomena can use them freely without embarrassment.
Read morePython News: What’s New From November 2022
The Python world never stops spinning! After the release of Python 3.11 in October, the Python release team is already launching the first alpha versions of Python 3.12. The excitement of trying shiny new things shouldn’t distract you from being cautious while coding, though. Recently, researchers found more malicious packages on PyPI, and lawyers raised concerns about license violations when using GitHub Copilot to generate code. Let’s dive into the biggest Python news from the past month! Python 3.12 Alpha […]
Read moreNeurIPS 2022: Seven Microsoft Research Papers Selected for Oral Presentations
Microsoft is proud to be a platinum sponsor of the 36th annual conference on Neural Information Processing Systems (NeurIPS), which is widely regarded as the world’s most prestigious research conference on artificial intelligence and machine learning. Microsoft has a strong presence at NeurIPS again this year, with more than 150 of our researchers participating in the conference and 122 of our research papers accepted. Our researchers are also taking part in 10 workshops, four competitions and a tutorial. In one of […]
Read moreComplete Tutorial for torch.max() in PyTorch with Examples
Introduction In this article, we will go through the tutorial for the torch.max() function of PyTorch which is used to get the maximum element of a tensor. First of all, we shall understand how it works along with syntax and we shall see some examples for a better understanding of the beginners. What is torch.max() function in PyTorch The torch max() function is used to retrieve the elements with maximum values in a tensor along with its indices. The maximum […]
Read more[Diagram] How to use torch.gather() Function in PyTorch with Examples
Introduction In this article, we will see how to use torch.gather() function in PyTorch. We shall first understand for what purpose the gather() function is used in PyTorch, along with its syntax. Finally, we will cover a few examples so that the concept can be understood easily by beginners. What is torch.gather() function in PyTorch As the name suggests, torch.gather() function is used to create a new tensor by gathering elements from an input tensor along a specific dimension and […]
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