Neural network projects | How to build a neural network to classify fruits and vegetables TensorFlow

This is one of my neural network projects projects. In this tutorial we will cover a full process of building a neural network model to classify objects in images . Follow this tutorial and you can learn how to build your very own object model with TensorFlow.

In this deep learning tutorial I will walk you through the process and code in order to setup your own neural network , the layers , and give you the basic tools to build your own model .

The data set is from this link : https://www.kaggle.com/kritikseth/fruit-and-vegetable-image-recognition

Chapters : 00:22 Prepare the data and save as Numpy 18:02 Build the neural network model 38:00 Test the model

You can find the code along for example files in this link : https://github.com/feitgemel/TensorFlowProjects/tree/master/Fruit-and-Vegetable-Image-Recognition

I am using one of these desktop cameras in my projects : Logitech C270 , Simple and basic camera : https://amzn.to/37CAPjO Logitech HD Pro Webcam C920 , A very good camera : https://amzn.to/3rM1Lof

I recommend using the Jetson Nano developer kit. You can find it here : https://amzn.to/3k89Jni I am using a Samsung memory card :https://amzn.to/37JHV66

Anyone who wants to improve his/her Python skills , follow this book: https://amzn.to/37xv47j

I also recommend CNN Course book for neural network lovers . follow this link : https://amzn.to/3xKqZY1

#OpenCV #TensorFlow #Python

Music by Vincent Rubinetti Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown Stream the music on Spotify: https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u ... https://www.youtube.com/watch?v=w5T86Z3lod0