Building iOS Object Detection App with Squeezenet ML model

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Price: 24.99$

Course Description Learn to build i SO application for object detection engine using Squeezenet  deep learning algorithm.  Deep learning is popular where a machine can be trained to detect objects in video and images.  Once trained, it can be used to detect objects in any video or image. Object detection is part of computer vision field. Computer Vision market is estimated to grow to $48 Billion by 2022. Its huge opportunity for budding Machine Learning developers to grow their careers. In this course we are going to use pretrained Squeezenet  model. Squeezenet  is fast , lightweight machine learning model for object detection and specially designed to run on mobile devices. In this course you will be learning about using Squeezenet  model on i Phone to detect objects inside image. The object detection happens on device and does not require transmission of your images to remote service. Therefore it is highly privacy and security compliant. You could be on remote island with no cellular or wifi connectivity and can still run this app to do object detection. Build a strong foundation in object detection mobile app with this tutorial for mobile app developers. Understanding fundamentals of Object Detection Understanding fundamentals of deep learning and CNN Use cases for object detection Benefits of running object detection on device Build a real life object detection mobile app  using Squeezenet  Core ML, Swift and i OSA Powerful Skill at Your Fingertips  Learning the fundamentals of object detection  puts a powerful and very useful tool at your fingertips. Swift, Core ML has excellent documentation. No prior knowledge of deep learning is assumed. I’ll be covering topics like CNN from scratch. Jobs in object detection area are plentiful, and being able to learn object detection will give you a strong edge. Object Detection is  state of art technology that can quickly help you achieve your goal. Learning object detection with Squeezenet  will help you become a computer vision developer which is in high demand. Content and Overview  This course teaches you on how to build i Phone app for object detection  using swift, core ML and Resnet v2 model.  You will work along with me step by step to build following answers Download a pretrained model Capture image using camera Use coreml and vision app to on device object detection What am I going to get from this course?Learn fundamentals of deep learning, core ML and build object detection mobile app from professional trainer from your own desk. Over 10 lectures teaching you how to build  object detection mobile app Suitable for intermediate 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.