$2.00
Link for the video tutorial : https://www.youtube.com/watch?v=w5T86Z3lod0
🍏🍌🥕🍅 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 vegetables with impressive accuracy.
Here's what we'll cover in this tutorial:
🔹 Data Preparation: We'll begin by exploring and preprocessing our dataset, which contains images of 36 different fruits and vegetables. You'll learn how to load, resize, and organize your data effectively.
🔹 Model Building: We'll build a deep neural network using TensorFlow and Keras, starting with data input and progressing through hidden layers to our final classification layer. You'll gain insights into choosing the right architecture for your project.
🔹 Model Training: Watch as we train our neural network on the prepared dataset, fine-tuning it to achieve impressive accuracy.
🔹 Model Evaluation: We'll assess the model's performance on a separate test dataset, revealing how well it can identify fruits and vegetables it has never seen before.
🔹 Predictions: Discover how the model makes predictions, and witness its classification abilities in action as we test it on individual images.