Computer Vision Meetup: A Practical Approach to Deep Learning for Computer Vision with Tensorflow 2

A detailed walkthrough of Neuralearn’s Deep Learning for Computer Vision course. We shall discuss at a high level how modern deep learning algorithms can be used in solving computer vision tasks using tools like Tensorflow 2, Hugging Face, Onnx, FastAPI, Weights and Biases and Albumentations, going from the basics of Machine Learning to deploying working computer vision solutions.

In this course, we lay much emphasis on practice, while explaining the theory behind the different algorithms we use. Learners from different backgrounds can easily follow along since efforts are made to explain every concept as clearly and concisely as possible. Because in recent times, deep learning is usually stereotyped as a math-heavy field, we explain in simple terms every math concept, so that learners who aren’t from a math-related background can start building real-world solutions easily.

Given that our focus is mainly on practice, we work on several projects in this course including a car price predictor, a malaria disease classifier, a human emotions detector, an object detector, a digit generator, an image segmenter, a people counter and an image generator.

Speaker: Folefac Martins at Vinsight and ML Instructor

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Recorded on Aug 10, 2023 at the virtual Computer Vision Meetup.

#computervision #machinelearning #datascience #ai