Originally posted on A Girl’s Voyage: Break, burst, splinter, fragment, divide, sever, shatter, disintegrate, crack, crash, fracture, separate, smash, snap, tear, split. So many ways to say that something’s in pieces, most with negative connotations, and yet, something broken can be just as beautiful as something whole, especially if the cause was worth…
via Beautiful Ways to be Broken — David Snape and Friends – The place to show off your hidden talents
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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…
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…
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.…
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…
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…
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…
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…
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…
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…
In continuation of my previous post today I will talk about the website tanooja.com. I did this project on request of my wife because she wanted to pursue blogging and didn't want to go through the ordeal needed to write, publish and manage SEO using most of the prominent blogging platforms like WordPress, Joomla, Drupal…
In this post I will share a few tools and technologies that I am using to run a couple of blazing fast websites using latest modern tools and technologies. The caveat here is that I don't pay any infrastructure/hosting costs for any of these websites and they can scale infinitely in terms of supported users…
Another post about Lizzie. I started off with a Raspberry Pi 3 to build a personal assistant for my car and I have come a long way both in terms of the concept and the functionality. Most importantly I have formalized the application flow and also extended the scope from one device to almost all…
I am writing this article in response to a question posted on my YouTube channel. Here I would be talking about communicating to an OBD-II device (ELM327 chip with Bluetooth) hooked into your car’s OBD-II port. The OS I am using is Windows 10 IoT core. This information is important because it makes a difference…
As mentioned in previous article today I would be talking about OBD-II integration in Lizzie using a Bluetooth serial communication with an ELM327 adapter that fits on a OBD-II port in your car. OBD stands for On Board Diagnostics which is connected to the ECU (Engine Control Unit) and provides a ton of information (both…
In the previous post I described my experiments around building an intelligent artificial personal assistant – Lizzie. The pseudo intelligent agents available today around us (Siri, Cortana or Google Next) are all great feats of engineering given the fact that they reside on small devices like mobile phones and are able to do powerful things…
Recently I have been busy building a personal assistant that I would be fitting in my car. Currently I am in experimentation mode and I am experimenting with speech capabilities. I would start with a description of my journey so far. First let me show off a little bit with these videos that I created…
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