Complete Computer Vision Bootcamp With PyTorch & Tensorflow

Complete Computer Vision Bootcamp With PyTorch & Tensorflow
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Learn Computer Vision with CNN, TensorFlow, and PyTorch – Master Object Detection from Basics to Advanced

What you’ll learn
Master CNN concepts from basics to advanced with TensorFlow & PyTorch.
Learn object detection models like YOLO and Faster R-CNN.
Implement real-world computer vision projects step-by-step.
Gain hands-on experience with data preprocessing and augmentation.
Master transfer learning with pre-trained models like ResNet and VGG
Gain practical skills with TensorFlow and PyTorch libraries

Requirements
Basic understanding of Python programming.
Familiarity with fundamental machine learning concepts.
Knowledge of basic linear algebra and calculus.
Understanding of image data and its structure.
Enthusiasm to learn computer vision with hands-on projects.

Description
Who this course is for:
Beginners eager to learn computer vision from scratch., Data scientists looking to expand their skill set with CNN and object detection., AI and ML engineers aiming to build computer vision models., Researchers and students exploring deep learning for visual tasks., Professionals interested in deploying real-world CV applications

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