Course Description

If you have some prior experience with AI, ML & Deep Learning and are looking to take your skills to the next level, our Intermediate Level course is the perfect fit. In this course, you'll dive deeper into the complexities of these fields and explore more advanced algorithms and techniques. You'll also have the opportunity to work on real-world projects with personalized guidance from our experienced instructors. By the end of this course, you'll have the confidence and skills necessary to tackle even the most challenging AI, ML & Deep Learning projects.

What You’ll Learn
  • Deep Learning Architectures: Autoencoders, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs)
  • Natural Language Processing: Text Representation, Language Modeling, and Recurrent Neural Networks
  • Reinforcement Learning: Markov Decision Processes, Q-Learning, and Deep Reinforcement Learning
  • Transfer Learning: Fine-tuning and Pre-training
  • Advanced Model Evaluation and Validation techniques
  • Applications of AI, ML & Deep Learning in cutting-edge fields such as Robotics, Self-Driving Cars, and Healthcare.

Course Curriculum

Week 1-4
  • Unsupervised Learning, Generative models and Pattern discovery
  • Supervised Learning and Discriminative Models
  • Deep Learning
Author Images
Ekon Academy
Instructor

Managing world 

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Course Documents

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