Willies Ogola is pursuing his Master’s in Computer Science in Hubei University of Technology, China. His research direction is on Artificial Intelligence and Embedded Systems. He likes researching during his free time and is passionate about technology.
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Mar 31, 2022
Anvil is a free and open-source drag and drop web app builder. It is equivalent to the likes of Gradio application. The framework uses the Python programming language only. No HTML, no CSS, and no Javascript.
Feb 8, 2022
The open AI Gym Anytrading environment is a custom trading environment that you can use to trade a bunch of stocks, forex, cryptocurrencies, equities, and securities.
Jan 11, 2022
In this tutorial, we will take you through how to build an AI-powered blog content generator using a GPT-3 clone known as GPT-Neo.
Dec 1, 2021
PyTorch Lightning is an open-source, lightweight Python wrapper for machine learning researchers that is built on top of PyTorch.
Oct 26, 2021
The Multi-Person Pose Estimation is a model designed for sports and exercise-based applications. The model can detect six people in an image or video simultaneously, and 17 key-point joints per person.
Sep 29, 2021
Machine learning can be used in pitch detection, understanding speech, and musical instruments, as well as in music generation. For our case, we shall use machine learning for audio classification.
Aug 17, 2021
Centralized machine learning involves having the model and the dataset on the same device. Companies such as Google upload data to the cloud to train their machine learning models.
Jul 11, 2021
Convolutional Neural Networks (CNNs) have been used over the years to solve problems in computer vision. But, over the last year, we’ve seen transformers with self-attention modules replacing CNNs. A good...
Jun 17, 2021
Developing brain-computer interfaces (BCI) that can decode and translate brain signals will depend on us being able to decode more of these signals in a way that is useful for people such as those with...
May 11, 2021
Contrastive Language-Image Pre-Training (CLIP) is a learning method developed by OpenAI that enables models to learn visual concepts from natural language supervision.
Apr 7, 2021
Artificial Intelligence (AI) is a rapidly advancing field with various techniques being billed as the most promising to keep an eye on. One of those techniques is self-supervised learning.
Mar 16, 2021
To date, transformers or attentions have been used in Generative Adversarial Networks (GANs), but they always had a convolution component in their architecture.
Feb 19, 2021
Generative Adversarial Networks (GANs) are a great advancement in machine learning and have numerous applications. Perhaps one of the most used applications of GANs is in face generation. If you go to this...
Feb 16, 2021
How many words is an image worth? This paper, recently published by Google’s research team, tells us that an image is worth 16 x 16 words. Let me explain what they meant by this to help you better...
Feb 10, 2021
Machine Learning (ML) has had a profound influence on a diverse range of applications. This has been possible mainly due to the better computing power and large amounts of training data. I cannot emphasize...
Feb 2, 2021
Supervised learning and unsupervised learning techniques are very limited in their real-world applications. For example, the supervised learning technique can be very labor-intensive, computationally expensive,...
Jan 21, 2021
The data that we use to train our models is fundamental. In fact, without training data sets, we wouldn’t have machine learning systems. These systems would not know how to classify texts, images, or...
Jan 13, 2021
In our hyper-connected world, outbreaks spread fast. If we want to stay ahead of them, we have to find ways of moving even faster. In 2013, having learned from previous outbreaks, a Canadian company, BlueDot...
Jan 12, 2021
We need the equivalent of high school mathematics to understand the concepts used in Machine Learning (ML), such as linear algebra, probability, statistics, and multivariate calculus. Yet, a background in ML is...
Jan 4, 2021
Deep Learning (DL) frameworks are gradient computing engines widely used in deep learning and neural networks. If you haven’t studied neural networks and how they function, please feel free to read this...
Dec 10, 2020
The key ideas behind Capsule Networks (CapsNets) were introduced in 2011 by Geoffrey E. Hinton in a research paper called Transforming Autoencoders. Although, he did have a difficult time making the network...
Nov 26, 2020
This article assumes a basic understanding of Machine Learning (ML) and Deep Learning (DL). For an introduction to ML and DL, feel free to check out my previous article.
Nov 15, 2020
This article assumes a basic understanding of Machine Learning (ML) and Deep Learning (DL). For an introduction to ML and DL, feel free to check out my previous article.
Nov 9, 2020
This article will serve as an introduction to Reinforcement Learning (RL). According to Wikipedia, RL is a sub-field of Machine Learning (ML). That is concerned with how agents take actions in an environment to...
Oct 28, 2020
Over the years, Deep Learning (DL) has been the key to solving many machine learning problems in fields of image processing, natural language processing, and even in the video games industry. All this generated...
Oct 16, 2020
These three terms: Artificial Intelligence (AI), Machine learning (ML), and Deep Learning (DL) are often confusing. Although used interchangeably, these terminologies refer to different things. This article...