PyTorch For Deep Learning and Computer Vision

Colleagues, PyTorch is becoming a very transformative framework in the field of Deep Learning. Its flexibility has made building a Deep Learning model easier. This PyTorch For Deep Learning And Computer Vision teaches you Deep Learning with PyTorch. PyTorch has completely changed the landscape of the deep learning domain with its flexibility and has made building deep learning models easier. The development world offers some of the highest paying jobs in deep learning. Instructor Rayan Slim will help you learn and master deep learning with PyTorch. Having taught over 44,000 students, Rayan is a highly rated and experienced instructor who has followed a learning-by-doing style to create this course. By the end of this course, you will have built state-of-the-art deep learning and Computer Vision applications with PyTorch. You will learn the tensor data structure, machine and deep learning applications with PyTorch, neural networks from scratch, applied themes of advanced imagery and Computer Vision, complex problem solvings in Computer Vision by harnessing highly sophisticated pre-trained models and style transfer to build sophisticated AI applications. Skill-based training modules address: 1) Intro to Tensors, 2) Linear Regression, 3) Perceptrons, 4) Deep Neural Networks, 5) Image Recognition, 6) Convolutional Neural Networks, 7) CIFAR 10 Classification, 8) Transfer Learning, 9) Style Transfer – PyTorch plus two Appendices: Crash courses in Python and NumPy.

Enroll today (individuals & teams welcome): https://tinyurl.com/25bc4549 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy