# Essay On Image Classification

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Image classification makes use of analyzing various properties of various image features and then sets the data into classes. Classification methods typically uses two levels for the process of classification: training and testing. Primarily in the training phase, characteristics of the image features are extracted and, based on these, a unique description of each classification category, i.e. training class, is created\cite{mohri2012foundations}. In the subsequent testing phase, these feature-space partitions are used to classify image features.\\ Since this task of recognizing a visual concept is relatively trivial for a human to perform,there are several challenges,as follows, to overcome in order to create a perfect classifier.\\…show more content…
In my particular project I'm using Convolution neural network for image classification. \newpage \subsection{CNN for image classification} Convolutional Neural Networks are very similar to ordinary Neural Networks from the previous chapter: they are made up of neurons that have learnable weights and biases. Each neuron receives some inputs, performs a dot product and optionally follows it with a non-linearity. \\Neural Networks receive an input (a single vector), and transform it through a series of hidden layers. The last fully-connected layer is called the “output layer” and in classification settings it represents the class scores. \\ We use three main types of layers to build ConvNet architectures: Convolutional Layer, Pooling Layer, and Fully-Connected Layer (exactly as seen in regular Neural Networks). We will stack these layers to form a full ConvNet architecture.\cite{krizhevsky2012imagenet}\\ INPUT will hold the raw pixel values of the image\\ CONV layer will compute the output of neurons that are connected to local regions in the input, each computing a dot product between their weights and a small region they are connected to in the input volume.\\ RELU layer will apply an elementwise activation function, such as the max(0,x) \\ POOL layer will perform a downsampling operation along the spatial dimensions (width, height)\\ FC (i.e.