Deep Learning Explained Simply
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About
Deep Learning Explained Simply is a comprehensive introductory course aimed at demystifying modern deep learning for complete beginners. It requires no prior knowledge of neural networks or machine learning. The course features lectures streamed on YouTube, practical assignments in Python, and provides support through discussions and assistance in leading Russian-speaking ML communities like ODS.ai and ClosedCircles. The curriculum covers foundational topics from basic machine learning concepts, neural networks, PyTorch, and convolutional neural networks, to more advanced subjects like segmentation, object detection, metric learning, autoencoders, GANs, NLP, RNNs, audio processing, attention mechanisms, and reinforcement learning. This course is also taught to master's students at Novosibirsk State University and CS Center students.
Platform
Features
• pytorch framework introduction
• covers reinforcement learning
• covers natural language processing
• covers computer vision
• comprehensive deep learning curriculum
• community-driven support & discussions
• python-based practical assignments
• youtube video lectures
Pricing Plans
Free
Free Plan• Access to all YouTube lectures
• Python assignments
• Community support via Telegram, ODS.ai, ClosedCircles
• No prior ML/NN knowledge required
• Covers wide range of deep learning topics
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