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.

Actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N

Check out our tutorial here : https://youtu.be/w5T86Z3lod0&list=UULFTiWJJhaH6BviSWKLJUM9sg

Code for the tutorial : https://ko-fi.com/s/bba2540d4f

Eran