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 : http://bit.ly/3HeDy1V
Perfect course for every computer vision enthusiastic
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
Enjoy
Eran
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