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Tag

deep learning

All blog posts with this tag.

  • 27 Sept 2026

    AI hardware: CPU, GPU, TPU, NPU, VRAM, and what neural networks need

    Why GPUs matter for neural networks, how CPU, TPU, and NPU differ, why VRAM and bandwidth matter, how multi-GPU setups work, quantization, and the stack from PyTorch down to silicon.

    deep learninggpumachine learningpytorchTutorial
  • 27 Sept 2026

    ML frameworks for training neural nets: PyTorch, TensorFlow, JAX, tinygrad

    What an ML framework is, how tensors and autograd work, how PyTorch, TensorFlow, JAX, tinygrad, and micrograd differ, and what to pick for your task — from learning to production inference.

    deep learningjaxmachine learningpytorchtensorflowTutorial
  • 27 Sept 2026

    PyTorch vs TensorFlow: comparing two machine learning giants

    How PyTorch and TensorFlow differ: tensors, autograd, the training loop, data pipelines, GPU/TPU, deployment, CV and LLM ecosystems — and how to pick a framework for your task in 2026.

    deep learningmachine learningpytorchtensorflowTutorial