Hi, I'm Konrad, an engineer specializing in silicon design and
FPGA development. I'm currently exploring the potential of
hardware accelerators for machine learning applications.
From Theory to Code: Implementing a Neural Network in 200
Lines of C
December 19, 2024
Neural networks are computational models inspired by the
human brain, capable of learning complex patterns from data.
Today, high-level languages and libraries like TensorFlow,
PyTorch, or Keras make building neural networks trivial...
Read more →