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I will work on computer vision and deep learning using python
Senior Full Stack Developer and Data Scientist
I’m Obaid Ur Rahman Zia, CEO of Plivix Technologies. We build scalable web and mobile applications using Next.js, React, React Native, Node.js, MongoDB, Tailwind CSS, and modern cloud tools.
I also p...
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
I hold a Masters degree in Computer Science, specializing in Deep Learning and Computer Vision. I have extensive experience working on various computer vision projects using Python and OpenCV.
My expertise in deep learning includes:
- Convolutional Neural Networks (CNNs)
- Facenet
- Faster R-CNN
- YOLO
- Generative Adversarial Networks (GANs)
- And many other CNN-based architectures
I'm also skilled in traditional computer vision methods such as:
- SIFT
- HOG
- Hough Transform
- RANSAC
- Morphological operations
- Contour detection
- Image thresholding
- And more
I regularly use libraries like NumPy, SciPy, Matplotlib, Pandas, TensorFlow, Scikit-learn, and OpenCV, and work in environments such as Anaconda and PyCharm.
Please message me before placing your order so I can review the workload and provide accurate pricing.
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FAQ
What is Deep Learning?
Deep Learning is a type of Machine Learning using multi-layered neural networks to automatically learn features from data, unlike traditional methods that require manual feature extraction.
What are CNNs and their role in Computer Vision?
Convolutional Neural Networks (CNNs) are used for analyzing visual data by automatically detecting features like edges and shapes, making them essential for tasks like image classification and object detection.
What is Transfer Learning?
Transfer Learning involves adapting a pre-trained model to a new, related task, which speeds up training and improves performance, especially with limited data.
