Enhance your data science experience on M1 Apple Silicon In this brief tutorial, I’ll show you how to set up your Macbook Air / Pro / Mini with Apple Silicon M1 architecture for Tensorflow and Datascience. As you might know, many python libraries haven’t been optimized yet for the…

A quick guide to visualizing the structure of a neural network in TensorFlow — Why read this article? This article will show you how to use Google Colab to implement a Convolutional Neural Network model with the eager execution of Tensorflow and the Keras Functional API. …

Creation of unique images using machine learning algorithms — 3 Minutes Machine Learning 3 minutes machine learning is a series of tutorials and informative videos related to the world of machine learning. You can find the complete videos on YouTube. The repository contains all the files shown in the videos. This series is in an experimental phase and is developed totally free…

A Step-by-Step Guide to Efficiently Retrieve Build Artifacts from CircleCI for Continuous Integration and Delivery Introduction CircleCI is a popular and powerful continuous integration and delivery platform that has been designed to help software development teams automate their build, test, and deployment processes. …

Understanding the theory and implementation of custom loss functions in PyTorch using the MNIST dataset — Introduction In machine learning, the loss function is a critical component that measures the difference between the predicted output and the actual output. It plays a vital role in the training of a model, as it guides the optimization process by indicating the direction in which the model should improve. The…

Exploring the key concepts, techniques, and tools used in the field of data science, and the various industries it is applied to Introduction Data science is a rapidly growing field that involves the use of various techniques and tools to extract insights and knowledge from data. It is an interdisciplinary field…

AI-driven education: Enhancing Learning Experience, Research and Accessibility Introduction Artificial intelligence (AI) is rapidly changing the way we live, work, and learn. In the field of higher education, AI is transforming the traditional learning model by providing new ways to access and process information. With the ability to learn from vast…

Maximizing Model Performance with Custom Loss Functions in TensorFlow — Introduction In machine learning, the loss function is a crucial component of the training process. It measures the difference between the model’s predictions and the true output and is used to update the model’s parameters to minimize this difference. …

Mastering the Art of Extracting Valuable Insights from AI Algorithms Overview In today’s data-driven world, Artificial Intelligence (AI) is playing an increasingly important role in various industries, from healthcare and finance to retail and transportation. As the demand for AI-powered solutions continues to grow, so does the need for professionals who…