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How To: Super Fast Tensorflow 2 Setup with GPU Support in VS Code
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Object Extraction using Image Segmentation: A Comprehensive Tutorial with Detectron2 and Mask2Former
Discover how to perform object extraction using image segmentation with Detectron2 and Mask2Former in our step-by-step tutorial. Learn to set up the environment, configure the model, and visualize segmentation results, extracting objects from images with ease. Boost your computer vision skills and optimize your image processing projects with this comprehensive guide.
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Building Your First Neural Network with TensorFlow – Deep Learning 2
Neural networks are a fundamental concept in deep learning and are used for a wide range of applications such as image and speech recognition, natural language processing, and much more. In this article, we will walk you through the process of building your first neural network using TensorFlow, a popular open-source machine learning library. We’ll…
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Introduction to Deep Learning with TensorFlow – Deep Learning 1
In this article, we provide an introduction to deep learning with TensorFlow. We cover what deep learning is, what it can do, why TensorFlow is a great choice for deep learning, and an overview of TensorFlow itself. We also explore the different types of neural networks used in deep learning, and demonstrate how to build…
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How To: Set Up PyTorch with GPU Support on Windows 11 – A Comprehensive Guide
Introduction Hello tech enthusiasts! Pradeep here, your trusted source for all things related to machine learning, deep learning, and Python. As you know, I’ve previously covered setting up TensorFlow on Windows. Today, I’m excited to bring you a detailed guide on setting up another popular deep learning framework, PyTorch, with GPU support on Windows 11.…
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Solving a Complex Logistics Optimization Problem using the Pulp Library in Python – Part 4
In this article, we demonstrate how to solve a logistics optimization problem using the Pulp library in Python. By defining the variables, objective function, and constraints, and using the solve method to find the optimal solution, we are able to minimize the total cost of transportation while satisfying the constraints. This article concludes the multi-part…
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Linear Programming in Python using PuLP – Part 3: Optimizing Investment Portfolios with Multi-Objective Optimization
In this article, we used the Pulp library in Python to solve a linear programming problem to find the optimal investment portfolio. We defined variables, added constraints, defined objectives, and solved the problem to find the optimal solution that balances the trade-off between maximizing returns and minimizing risk. The code was concise and easy to…
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Linear Programming in Python using Pulp – Part 2
In this article, we delve deeper into linear programming and explore how to solve a multi-objective optimization problem using the Pulp library in Python. We present a problem in which a nutritionist must find the optimal meal plan for a patient suffering from anemia, balancing the intake of Vitamin B12 and fat. We demonstrate how…
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Linear Programming in Python using PuLP – Part 1
Linear programming is an optimization technique used to find the best outcomes for a given problem. This technique relies on a set of constructs which are all expressed using a system of linear equations. It is important to understand that you should be able to express your objective as a linear equation dependent on an…
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How To: Setup Tensorflow With GPU Support using Docker
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How To: Setup Tensorflow With GPU Support in Windows 11
It’s been just 2 days since Windows 11 came out and I am already setting up my system for the ultimate machine learning environment. Today we are going to setup a new anaconda environment with tensorflow 2.5 with GPU support using NVIDIA CUDA 11.4 and CUDNN 8.2.4 along with Python 3.8. This is going to…
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Building Lizzie – IV
