Tag: PyTorch
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Policy Gradient and Actor-Critic Explained
Master policy gradient methods from REINFORCE to Actor-Critic with GAE. Learn why direct policy optimization unlocks continuous action spaces.
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From Q-Learning to DQN: Your First RL Algorithms
Implement Q-Learning from scratch, then scale up to Deep Q-Networks with experience replay and target networks. Complete PyTorch code included.
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W&B Sweeps: Bayesian vs Grid Search Benchmark (ResNet-18)
Bayesian search hit 91% in 28 runs. Grid needed 64. Real benchmarks, ResNet-18, CIFAR-10โsee which strategy wins.
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ML Experiment Tracking with W&B: Lessons from 50 Failed Runs
W&B cuts experiment chaos in half โ but only if you log the right metrics. Here's what 50 runs taught me.
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JAX vs PyTorch: When JIT Speed Actually Matters
JAX's JIT and vmap deliver 3x speedups on numerical loops, but PyTorch wins in production. When each framework actually matters.