#Fruit Image Classification using CNN on GoogleColab(Part-1)|#Tutorial for Deep Learning|Hostbox cse

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This video is very useful for learn Deep learning and understand about CNN ,Image Classification .

Lecture by Nagarajan.S

We can classify the images of fruits from the Fruits 360 dataset. The dataset contains 90380 images of fruits and vegetables captured using a Logitech C920 camera. Behind the fruits, a white sheet of paper is placed as a background.

We will build the model using CNN (Convolutional Neural Network). A CNN is a network that can take in an input image, assign importance (learnable weights and biases) to various aspects/objects in the image to differentiate one from the other.

We will load the dataset into Colab directly from Kaggle. We‘ll explore the contents of the dataset, display the images, and augment them. We will then create our model, classify the images and see the performance of the model.

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