deep-learning
byaznatkoiny· 9 skills
Comprehensive guide for Deep Learning with Keras 3 (Multi-Backend: JAX, TensorFlow, PyTorch). Use when building neural networks, CNNs for computer vision, RNNs/Transformers for NLP, time series forecasting, or generative models (VAEs, GANs). Covers model building (Sequential/Functional/Subclassing APIs), custom training loops, data augmentation, transfer learning, and production best practices.
How to install deep-learning?
aznatkoiny/zai-skills/deep-learning
$npx -y skills add aznatkoiny/zai-skills --skill deep-learningInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aznatkoiny/zai-skills" --skill "aznatkoiny/zai-skills/deep-learning"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aznatkoiny/zai-skills" that are relevant to the current task. Run `npx skills add "https://github.com/aznatkoiny/zai-skills"` and select the relevant skills, then follow their instructions.
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