https://github.com/curiousily/hackers-guide-to-deep-learning

Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python
https://github.com/curiousily/hackers-guide-to-deep-learning

deep-learning machine-learning machine-learning-api machine-learning-deploy machine-learning-engineering neural-networks python pytorch

Last synced: 8 months ago
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Tutorials on how to engineer Machine Learning projects using Deep Neural Networks with PyTorch and Python

• Host: GitHub
• URL: https://github.com/curiousily/hackers-guide-to-deep-learning
• Owner: curiousily
• Created: 2020-10-25T17:50:27.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-02T07:11:31.000Z (over 5 years ago)
• Last Synced: 2025-10-04T03:56:13.287Z (8 months ago)
• Topics: deep-learning, machine-learning, machine-learning-api, machine-learning-deploy, machine-learning-engineering, neural-networks, python, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 2.17 MB
• Stars: 29
• Watchers: 5
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Hackers-Guide-to-Deep-Learning



  



## Contents

- How Neural Networks Make Predictions

- Building an End-to-End Machine Learning Prototype

- Building a Dataset and Labelling

- Feature Engineering

- Training and Evaluation

- Improving the Performance of Your Model

- Deployment