Image_Classification

In this project, we classify images from the CIFAR-10 dataset. The dataset consists of airplanes, dogs , cats, and other objects. Here, we preprocessed the data, then train a convolutional neural network on all the samples. We normalize the images, one-hot encode the labels, build a convolutional layer, max pool layer, and fully connected layer. At then end, we inspect their predictions on the sample images

Project

In ,this project we had to build and run a Convolutional Neural Networkusing TensorFlow and use it to classify images from the CIFAR-10 dataset. The project was written in Python (on a Jupyter Notebook).

Requirements

1. Numpy
2. Pickle
3. Tensorflow

Topics Covered

1. Deep Neural Networks
2. Convolutional Neural Networks (CNN)
3. Max pooling
4. Dropout
5. TensorFlow