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Learning Outcomes from LinkedIn Course on Generative AI:
Generative Models: Gained an understanding of key generative models such as GANs, VAEs, and autoregressive models.
Training and Evaluation: Learned techniques for effectively training and evaluating generative models.
Data Preparation: Developed skills in data preprocessing and augmentation to enhance model performance.
Applications: Explored practical applications in image synthesis, text generation, and style transfer.
Ethical Considerations: Examined the ethical issues and potential misuse of generative AI technologies.
Advanced Techniques: Studied advanced topics like conditional generation and adversarial training.
Tools: Became proficient in using tools such as TensorFlow, PyTorch, and Keras for model implementation.
Current Trends: Stayed informed about the latest research and developments in generative AI.
#GenerativeAI #ArtificialIntelligence #MachineLearning #TechSkills #Microsoft #LinkedInLearning #AIInnovation
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