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Build computer vision programs that extract image features, classify and caption images, and track objects using deep learning.
Build intelligent agents with deep reinforcement learning using value- and policy-based methods, Q-networks, experience replay, multi-agent techniques, Python, PyTorch, and C++.
Train, deploy, and tune deep neural networks for image classification and object detection, experimenting with data, training parameters, network structure, and GPU-accelerated workflows.
Learn to use CUDA C/C++ tools and techniques to accelerate CPU-only applications to run on massively parallel GPUs.
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