Image Classification using CNN | Deep Learning Tutorial |Machine Learning|Image Classification 2022

In this video we will do small image classification using Dog and cat dataset in tensorflow. We will use convolutional neural network for this image classification problem. we will train a CNN and see how the model accuracy improves. This tutorial will help you understand why CNN .then we will learn how to work on custom dataset with multiple classes get accuracy more then 96%. For code : comment your Email Address. Model: CNN Accuracy: More then 96% code: Python softwate : Google Colab Number of Epochs : 50 References: https://ieeexplore.ieee.org/document/8776982 https://link.springer.com/chapter/10.1007/978-3-319-16841-8_52 https://www.researchgate.net/publication/275257620_Image_Classification_Using_Convolutional_Neural_Networks https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3833453 Links for installing Libreries: Install Tensorflow: https://pypi.org/project/tensorflow/ install Keras: https://pypi.org/project/keras/ if you want further support contact us : http://www.smartaitechnologies.com/ For code and further support give your email in comments.