Deep Learning for Fruit Recognition: Classifying Over 100 Unique Fruits
🍎🍌🍓 For CNN and deep learning enthusiasts! 🍊🍇🍍
🚀 In this in-depth tutorial, we explain, step-by-step , the process of building a convolutional neural network (CNN) model tailored specifically for fruit classification. 🌱🍎
The process will describe the model training, choosing the rights layers and filters, training , and running a fresh test image to check our result.
You are welcome to subscribe for the channel and follow our next videos
If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here :
Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
Using Python Learn OpenCV4, CNNs, Detectron2, YOLOv5, GANs, Tracking, Segmentation, Face Recognition & Siamese Networks
Perfect course for every computer vision enthusiastic
Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
Check out our tutorial here :
Deep Learning for Fruit Recognition: Classifying Over 100 Unique Fruits
n this tutorial, we take on the exciting challenge of classifying over 100 unique fruits using the power of TensorFlow and KerasWe will dive into the archite...
The code is in my Repo. I will leave a link in the video description.
Enjoy
Eran
#Python #Cnn #TensorFlow #deeplearning #neuralnetworks #imageclassification #convolutionalneuralnetworks
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