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How To: Super Fast Tensorflow 2 Setup with GPU Support in VS Code
I am publishing this article in response to a comment I received on How To: Setup Tensorflow With GPU Support using Docker article. Docker is all good and nice but all of us agree that we use IDEs (integrated dev environment – think VSCode) on our machines. So let’s say you want to get the…
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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
Previously I published a guide for setting up tensorflow in an anconda environment with GPU support. A lot of people liked it and I have been working with this environment myself for more than a year now. I am happy with the results however the process is a bit involved and requires quite a bit…
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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…