Building core Deep Learning algorithms in Rust.

It's kinda like the middle child of karpathy/micrograd and geohot/tinygrad.

---

Contributing

Any type of contribution is welcome as long as it adds value! i.e

• Bug fixes followed with tests to ensure the bug never resurfaces
• Increasing code readability, or run-time/memory efficiency
• Completing a To-Do task

---

To-Do

• Weight Initializers
  • Glorot
  • He
  • Lecun
• Create optimizer module for optimization algorithms
  • SGD
  • Adam
  • RMSProp
• Convolutional Neural Networks
  • Convolutional Layer
  • Pooling Layer
    • Max Pooling
    • Average Pooling
  • Padding Support
    • Padding Type
  • Dilation Support