Tag: tensorflow
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How to install Tensorflow 2.5 with CUDA 11.2 and CuDNN 8.1 for Windows 10
In this article, I am going to show you how you can install Tensorflow 2.5, CUDA 11.2.1, and CuDNN 8.1, for Windows 10, with full support for an Nvidia GPU RTX 30 series card. Since CUDA is backward compatible it should also work for RTX 20 series cards or older. But before I install CUDA, […]
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Tensorflow Object Detection API – Custom Image Classification — Can I detect if a painting is a nativity painting?
Can I teach an AI model using Tensorflow Object Detection API, how to identify the theme of a painting? The only way to find out is by trying! And I think you might be surprised by the outcome of this experiment. But, I am going to narrow down my problem. I want to identify if […]
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Tensorflow 2 Object Detection API Tutorial with a GPU in Windows 10
Hello there! Today I will be completing the Tensorflow 2 Object Detection API Tutorial on my new Windows PC. I have already set up my development environment so I can already run Tensorflow 2.4 with Python 3.8 and using Anaconda. Also, I have added GPU support to Tensorflow because I have installed all the Nvidia […]
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Creating a Wildlife Camera With a Raspberry PI, Python OpenCV and Tensorflow
I am a great believer that for you to learn, you need to create. And to create you need to have fun! First I want to give you a background on why I am trying to build a wildlife camera with a Raspberry Pi. I live in London and my garden gets visited often by local […]
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TensorFlow Image Recognition: train your own model
TensorFlow is a powerful tool, and its image recognition model contains millions of parameters. To train a model from scratch, you will need a lot of data, but if you want to create a project, which recognizes an image with the labeling of “Molly-the dog”, rather than just “a dog”, or “Isabella wedding” rather than […]
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TensorFlow Lite Image recognition: Android with Kotlin
TensorFlow is a wonderful tool for machine learning, where its main purpose is designed for neural network models. When it comes to mobile, Google has provided us with two libraries: TensorFlow mobile and TensorFlow Lite. They both works on Android and iOS. While TensorFlow mobile is recommended to use for developers who have a pre-trained model (a trained model is like […]