Computer Vision with Deep Learning
Dive into the world of computer vision with deep learning! A comprehensive guide exploring the synergy between advanced vision technologies and deep learning models.
Deep Learning for Computer Vision with TensorFlow – Full Course
☞ https://morioh.com/p/1616406d8df5
PyTorch for Deep Learning & Machine Learning – Full Course
☞ https://morioh.com/p/e2099e98a409
12+ Best Deep Learning Books for Beginners and Experts
☞ https://morioh.com/p/752fd76500d8
Stay up-to-date with the leading-edge in the Machine Learning and develop an industry portfolio through this course by learning Computer Vision and Deep Learning foundational concepts, Object Detection, Image Classification and Object Tracking.
The recent innovations of Machine Learning technology have brought in huge technological transformation and most of the business are now shifting towards technology-enabled business models fueled by Deep Learning and Computer Vision. To maintain competitiveness in the industry, it is very important to stay up to date and build expertise on these skills.
The course has been designed to empower you with the core concepts of Computer Vision and Deep Learning with neural network, ANN, CNN along with activation function. After covering these basics, the course explains in detail the object detection architecture, illustrates how it is different from object tracking and then details out the widely used object detection models as they have evolved over time. To begin with, we start with the architecture design of R-CNN Model and then move on to FAST R-CNN Model which is advanced version of R-CNN. Thereafter, we explain the concept of Region Proposal Network (RPN) and then leverage it to build FASTER R-CNN MODEL and close this legacy with R-FCN Model. Moving on, the course dives deep into advanced object detection models starting with Retinanet, SSD and then covering the YOLO series in which we are talking about YOLO V3, YOLO V3 Tiny and YOLOV4 Model.
Thereafter, we move on the next logical step of image classification as the output of detected objects is consumed by image classification models for better identification of input data. We will start with basic machine learning image classification algorithms like Support Vector Machines(SVM), Decision Tree and K Nearest Neighbor(KNN) and then move on to advanced algorithms such as VGG-16, ResNet50, Inceptionv3 and EfficientNet Model.
Towards the end, we will move on to final concept of Object Tracking where after identification of objects in a video, we start tracking it as the video process. Within Object Tracking, we will cover Meanshift Algorithm, SORT and DeepSort Framework.
The course has been designed to explain deep learning and computer vision concepts in depth by first explaining the technology concepts and then their implementation through code. Detailed code walkthrough has been included for all the code implementations in projects and source code is available for download. In addition to this, the quiz in the course helps you to assess your knowledge and identify the improvement areas.
#ComputerVision #DeepLearning #Morioh
____________________________________________
Computer Gear:
⬛ Monitor: https://amzn.to/3PWEfBv
⌨ Keyboard: https://amzn.to/3rApJG7
🐁 Mouse: https://amzn.to/3RLZBma
🎤 Mic: https://amzn.to/3RFd5QJ
📱 Tablet: https://amzn.to/45aw7Sm
💡 Lighting: https://amzn.to/3LEjNCE
💡 Key Lighting: https://amzn.to/3PZcLv7
Camera Equipment:
📷 Camera: https://amzn.to/3ZzQ1Vu
📸 Primary Lens: https://amzn.to/48C2UCv
📸 Secondary Lens: https://amzn.to/3ZBaMQI
🎥 Secondary Camera: https://amzn.to/46gjgzq
🎙 Camera Mic: https://amzn.to/3PzRs1F
🎞 USB to HDMI: https://amzn.to/455ZSnj
Book for Developer:
📔 Python: https://bit.ly/3REqgBm
📙 JavaScript: https://bit.ly/3RLdPUJ
📘 React: https://bit.ly/3ruQtb7
📗 Next.js: https://bit.ly/3LHY7pp
📗 Machine Learning: https://bit.ly/3PXJvoo
📗 Flutter: https://bit.ly/46OyL1p
📗 Angular: https://bit.ly/3PFrGZT
📗 SQL: https://bit.ly/46aDc6D
Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!
____________________________________________
Note: If you have any copyright issue with the content used in our channel or you find something that belongs to you, before you claim it to Youtube, SEND US A MESSAGE and the respective content will be DELETED right away. Thanks for understanding.
◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️
👕 Merchandise: https://www.moteefe.com/store/develop...
🌎 Social Network for Developers: https://morioh.com/
📱 Twitter: / moriohdotcom
In questa pagina del sito puoi guardare il video online Computer Vision with Deep Learning della durata di ore minuti seconda in buona qualità , che l'utente ha caricato itzsoft 19 dicembre 2023, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 456 volte e gli è piaciuto 9 spettatori. Buona visione!
