Complete Tutorial for torch.mean() to Find Tensor Mean in PyTorch

Introduction This tutorial will provide a detailed exploration of the torch.mean() function in PyTorch. We will begin by understanding the syntax of this function, and then move on to examine its capabilities through a variety of examples and illustrations. This will help beginners gain a thorough understanding of how to use this function to calculate the mean of the elements in a PyTorch tensor. What is torch.mean() function in PyTorch The torch sum() function is used to find the mean […]

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Build Cross-Platform GUI Apps With Kivy

These days, developers are highly likely to be working on a mobile or web application. Python doesn’t have built-in mobile development capabilities, but you can create mobile applications by using libraries like Kivy, PyQt, or even Beeware’s Toga library. These libraries are all major players in the Python mobile space. However, there are some benefits that you’ll enjoy if you choose to create mobile applications with Kivy. Not only will your application look the same on all platforms, but you […]

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Natural Language Processing With spaCy in Python

If you want to do natural language processing (NLP) in Python, then look no further than spaCy, a free and open-source library with a lot of built-in capabilities. It’s becoming increasingly popular for processing and analyzing data in the field of NLP. Unstructured text is produced by companies, governments, and the general population at an incredible scale. It’s often important to automate the processing and analysis of text that would be impossible for humans to process. To automate the processing […]

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2022: A Year in Review (ML Papers Edition)

Let’s take a look at some of the top trending ML papers of 2022: 1) A ConvNet for the 2020s (Liu et al) — Vision Transformers took off this year but this work proposes ConvNeXt to reexamine the design spaces and test the limits of a pure ConvNet on several vision tasks. The ConvNets vs. Transformers debate continues. 2) Language Models as Zero-Shot Planners (Huang et al) — studies the possibility of grounding high-level tasks to actionable steps for embodied […]

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Notes from EMNLP 2022

Last week I was at EMNLP in Abu Dhabi. Besides losing my passport and figuring out what to do on such an occasion (many thanks to the personnel of the Czech embassy in Abu Dhabi), I had plenty of interesting conversations and saw many interesting posters. When I was at my first NLP conference 8 years ago, I was amazed by the papers presented at the conference and returned with a long list of ideas of what I should try […]

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Generate Images With DALL·E 2 and the OpenAI API

Describe any image, then let a computer create it for you. What sounded futuristic only a few years ago has become reality with advances in neural networks and latent diffusion models (LDM). DALL·E by OpenAI has made a splash through the amazing generative art and realistic images that people create with it. OpenAI now allows access to DALL·E through their API, which means that you can incorporate its functionality into your Python applications. You’ll need some experience with Python, JSON, […]

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Python Basics: File System Operations

So far, you’ve written programs that get their input from one of two sources: the user or the program itself. Program output has been limited to displaying some text in IDLE’s interactive window. These input and output strategies aren’t useful in several common scenarios, such as when: The input values are unknown while writing the program. The program requires more data than a user can be expected to type in by themselves. Output must be shared with others after the […]

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Python’s “in” and “not in” Operators: Check for Membership

Python’s in and not in operators allow you to quickly determine if a given value is or isn’t part of a collection of values. This type of check is common in programming, and it’s generally known as a membership test in Python. Therefore, these operators are known as membership operators. In this tutorial, you’ll learn how to: Perform membership tests using the in and not in operators Use in and not in with different data types Work with operator.contains(), the […]

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