What You Should Know and Learn for Computer Vision and Artificial Intelligence in 2021
In this Computer Vision and AI Video, we are going to talk about what you should know and learn for computer vision and artificial intelligence in 2021 and forward. We will talk about why you should start with the basics and then keep building on top of that. We can never learn all of the things that are out there, but we can always learn new things, build on top of what we know, and combine all of the things together to create some really awesome projects and applications.
⭐Enroll in YOLOv7 Course: https://nicolai-nielsen-s-school.teachable.com/p/yolov7-custom-object-detection-with-deployment
⭐Enroll in OpenCV GPU Course: https://nicolai-nielsen-s-school.teachable.com/p/opencv-gpu-course
⭐Enroll in SegFormer Course: https://nicolai-nielsen-s-school.teachable.com/p/transformer-and-segmentation-course
💎GitHub: https://github.com/niconielsen32
💎LinkedIn: https://www.linkedin.com/in/nicolai-hoeirup-nielsen/
💎Twitter: https://twitter.com/NielsenCV_AI
💵 Patreon: https://www.patreon.com/thecodinglibrary/membership
💵Channel Member for help with projects, private discord, and exclusive perks:
https://www.youtube.com/channel/UCpABUkWm8xMt5XmGcFb3EFg/join
I'll be doing other tutorials alongside this one, where we are going to use C++ for Algorithms and Data Structures, and Artificial Intelligence. The purpose of this tutorial and channel is to build an online coding library where different programming languages and computer science topics are stored in the YouTube cloud in one place.
Feel free to comment if you have any questions about the things I'm going over in the video or just in general, and remember to subscribe to the channel to help me grow and make more videos in the future. :)
Tags for the video:
#OpenCV #AI #Cuda #NVIDIA #TensorFlow #Python #Cython #ComputerVision #DeepLearning
In this Computer Vision and AI Video, we are going to talk about what you should know and learn for computer vision and artificial intelligence in 2021 and forward. We will talk about why you should start with the basics and then keep building on top of that. We can never learn all of the things that are out there, but we can always learn new things, build on top of what we know, and combine all of the things together to create some really awesome projects and applications.
⭐Enroll in YOLOv7 Course: https://nicolai-nielsen-s-school.teachable.com/p/yolov7-custom-object-detection-with-deployment
⭐Enroll in OpenCV GPU Course: https://nicolai-nielsen-s-school.teachable.com/p/opencv-gpu-course
⭐Enroll in SegFormer Course: https://nicolai-nielsen-s-school.teachable.com/p/transformer-and-segmentation-course
💎GitHub: https://github.com/niconielsen32
💎LinkedIn: https://www.linkedin.com/in/nicolai-hoeirup-nielsen/
💎Twitter: https://twitter.com/NielsenCV_AI
💵 Patreon: https://www.patreon.com/thecodinglibrary/membership
💵Channel Member for help with projects, private discord, and exclusive perks:
https://www.youtube.com/channel/UCpABUkWm8xMt5XmGcFb3EFg/join
I’ll be doing other tutorials alongside this one, where we are going to use C++ for Algorithms and Data Structures, and Artificial Intelligence. The purpose of this tutorial and channel is to build an online coding library where different programming languages and computer science topics are stored in the YouTube cloud in one place.
Feel free to comment if you have any questions about the things I’m going over in the video or just in general, and remember to subscribe to the channel to help me grow and make more videos in the future. 🙂
Tags for the video:
#OpenCV #AI #Cuda #NVIDIA #TensorFlow #Python #Cython #ComputerVision #DeepLearning
