Tensorflow image classification | How to Classify natural scenes using Tensorflow Python and CNN

In this video we will classify natural images using Tensorflow and convolutional neural network. This Tensorflow Image classification model can help you to detect scenes in new images

We will build and train a CNN model and then predict (classify) a new images using our model.

We will use Python coding , Tensorflow and Keras

You can find the code and instructions in this link : https://github.com/feitgemel/TensorFlowProjects/tree/master/Intel-Images

Chapters : Intro : 00:00 Installation - Python libraries 00:17 Download the dataset and prepare the folders 02:46 Create the CNN model using Python 13:37 Test the model - Predict a new image 26:06

Moreover, I recommend This graphics card: NVIDIA GeForce RTX 3060 Ti . I am using it to train my Tensorflow models. Perfect results and performance: https://amzn.to/3mTa7HX

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

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

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