CS · AI

Deep Learning

44 hours, 26 minutes 14 Seconds

Description

Deep learning powers today’s most advanced AI systems, from image recognition to language generation. This course covers neural network architectures, training techniques, and modern deep learning frameworks, giving students hands-on experience building and training deep neural networks.

What Students Will Learn

+ Neural Network Foundations ›
+ Convolutional Neural Networks ›
+ Recurrent Networks and Sequence Models ›
+ Training, Tuning, and Deep Learning Frameworks ›

Overall Learning Outcomes

  1. Architectural Understanding: Explain how core deep learning architectures function.
  2. Practical Implementation: Build and train neural networks using modern frameworks.
  3. Tuning Skills: Apply techniques to improve model training and performance.
  4. Applied Projects: Develop deep learning solutions for real-world tasks.
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