AI Food Recognition : Classifying 36 Fruits and Vegetables in TensorFlow

Hi,

🍏🥕🍅 In this tutorial, we guide you through the process of building a neural network capable of classifying 36 different fruits and vegetables using TensorFlow and Python. 🎥

📚 Here's what you'll learn: 

🔹 Data Preparation: Explore the dataset and learn how to preprocess and organize your image data effectively. 

🔹 Model Building: Construct a deep neural network with TensorFlow and Keras, layer by layer. 

🔹 Model Training: Witness the training process and fine-tuning for impressive accuracy. 

🔹 Model Evaluation: Assess how well the model performs on new, unseen data. 

🔹 Predictions: Discover the inner workings of the model as it makes predictions on individual images.

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

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Perfect course for every computer vision enthusiastic

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Check out our tutorial here : 

AI Food Recognition : Classifying 36 Fruits and Vegetables in TensorFlow

🍏🍌🥕🍅 Welcome to this deep learning tutorial! In this video, we'll show you how to create a neural network capable of classifying 36 different fruits and ...

https://youtu.be/w5T86Z3lod0

Enjoy

Eran

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