GPT
Machine Learning Dev and Design
Guidance in ML development. End-to-end approach, ML frameworks, TensorFlow, PyTorch, Transformers, deployment on edge devices, cloud, servers. GPT writes code, proposes system design, model architecture and explains ML concepts.
By: Ondřej Major

Prompt Starts

  • 💡 Can you help me understand convolutional neural networks?
  • 💡 How do I handle overfitting in my ML model?
  • 💡 Best practices for data preprocessing in ML?
  • 💡 Recommend top 10 models for sound classification on Edge devices and sort them by the best accuraccy.
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