Description
Course DescriptionLearn to build image classification engine with using Convolutional Neural Network (CNN). CNN is popular network where a machine can be trained to classify images based on patterns in the images. Once trained, it can be used to identify objects in the images. A lot of smart researchers have already spent lot of time building really good image classification networks like VGGNET, RESNET, Inception V3. The networks are variants of CNN. These networks have been trained on imagenet animal dataset. If your dataset requires a different type of image classification, you could just start with these networks and fine tune them on your smaller dataset. This saves significant time and resources. Build a strong foundation in CNN with this tutorial for beginners. Understanding fundamentals ConvolutionUnderstanding fundamentals of deep learning and CNNBenefits of CNNLearn how to apply CNN with real exampleUse Jupyter Notebook for step by step programmingFine tune accuracy of CNNBuild a real life web application for dog vs cats classificationA Powerful Skill at Your Fingertips Learning the fundamentals of CNN puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation. No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like deep learning, Convolution and CNN from scratch. Jobs in computer vision area are plentiful, and being able to learn transfer learning will give you a strong edge. CNN is state of art technology that can quickly help you achieve your goal. Learning image classification with CNN will help you become a computer vision developer which is in high demand. Content and Overview This course teaches you on how to build dog vs cats classification engine using open source Python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to ConvolutionIntroduction to CNNBuild an jupyter notebook step by step using CNN Build a real world web application to find cat vs dogWhat am I going to get from this course?Learn CNN and build dog vs cats image classification engine from professional trainer from your own desk. Over 10 lectures teaching you how to build image classification engineSuitable for beginner programmers and ideal for users who learn faster when shown. Visual training method, offering users increased retention and accelerated learning. Breaks even the most complex applications down into simplistic steps. Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
