iamsuvhro/Animals-Classifier-using-ConvoNet

In this notebook you will see the all process for building powerfull classifier. Here I'm using four multiple classes for making powerfull and complete Animal Classifier.

Animals Classifier using Deep Convolutional Neural Network

In this notebook you will see the all process for building powerfull classifier. Here I'm using three multiple classes for making powerfull and complete Animal Classifier.

Dataset :

Here in this project I am using an animals dataset with three classes. In this dataset my goal is to classify animals and predict the animal names.

Training Data
Dog : 2000 Samples
Bird: 2000 Samples
Tiger:2000 Samples

Convolutional Neural Network :

In deep learning Convolutional Neural Network is a class of deep neural network, the term convolutional refers to the mathematical combination of two functions to produce a third function. In case of a CNN the convolutional is performed on the input data with the use of a filter or kernal to produce a feature map.

Convolutional Neural Networks (CNNs / ConvNets) ... ConvNet architectures make the explicit assumption that the inputs are images, which allows us to encode certain properties into the architecture. These then make the forward function more efficient to implement and vastly reduce the amount of parameters in the network.