TensorFlow CNN Tutorial: Flower Classification with Python 🌷

TensorFlow CNN Tutorial: Flower Classification with Python 🌷

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1 min read

Hi,

🌼 In our latest video tutorial, we will dive into image classification using Python and TensorFlow.

Discover how to create a Convolutional Neural Network (CNN) πŸ“Š that can identify various types of flowers 🌻.

What you'll learn:

  • Setting up your Python environment and TensorFlow.

  • Organizing your flower dataset for training and validation.

  • Data augmentation techniques to improve model performance.

  • Constructing a CNN architecture.

  • Training the model and monitoring its accuracy and loss.

  • Saving and loading your trained model for future use.

If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : http://bit.ly/3HeDy1V

Perfect course for every computer vision enthusiastic

I also shared the Python code in the video description.

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

The link for the video tutorial is here : https://youtu.be/AamKeCTRSKM

Enjoy

Eran

#Python #Cnn #TensorFlow #Deeplearning #convolutionalneuralnetworks #imageClassification

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