Problem: Classification of images specifically chair, kitchen, knife and saucepan using Convolutional Neural Networks and Tensorflow API.
Data: Dataset on Kaggle containing 5214 training images of 4 classes and 1267 testing images. The four classes are chair, kitchen, knife and saucepan. https://www.kaggle.com/mbkinaci/chair-kitchen-knife-saucepan
Model: We will use Alex Net architecture with 5 convolution layers and 3 fully connected layers with max pooling in between them. For implementing a CNN, we will stack up Convolutional Layers, followed by Max Pooling layers. We will also include Dropout to avoid overfitting. Finally, we will add a fully connected ( Dense ) layer followed by a softmax layer.
Prediction: 90% accuracy on 30 epochs.