Deep Learning on Reinforcement Learning Curriculum

Deep Learning on Reinforcement Learning Curriculum https://codefrydev.in/Reinforcement/tags/deep-learning/ Recent content in Deep Learning on Reinforcement Learning Curriculum Reinforcement Learning Curriculum https://codefrydev.in/Reinforcement/og-default.png https://codefrydev.in/Reinforcement/og-default.png Hugo en-us Fri, 20 Mar 2026 00:00:00 +0000 Checkpoint: DL Foundations Mid-Point https://codefrydev.in/Reinforcement/assessment/checkpoint-dl-mid/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/assessment/checkpoint-dl-mid/ 5 questions after completing the first 6 DL Foundations pages. Check your understanding before continuing. Phase 5 Assessment: Deep Learning Foundations https://codefrydev.in/Reinforcement/assessment/phase-5-dl/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/assessment/phase-5-dl/ 12 questions covering neural networks, backpropagation, training loops, and CNNs. Pass: 9/12. Optimizers: SGD, Momentum, and Adam https://codefrydev.in/Reinforcement/dl-foundations/optimizers/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/dl-foundations/optimizers/ Understand SGD, Momentum, and Adam optimizers from scratch. Implement and compare them in NumPy. The Training Loop https://codefrydev.in/Reinforcement/dl-foundations/training-loop/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/dl-foundations/training-loop/ Build a full training loop in NumPy: batches, epochs, forward pass, backprop, and weight updates. Regularization and Overfitting https://codefrydev.in/Reinforcement/dl-foundations/regularization/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/dl-foundations/regularization/ Understand overfitting and apply L2 regularization and dropout to prevent it in NumPy. PyTorch: Building Neural Networks with nn.Module https://codefrydev.in/Reinforcement/dl-foundations/pytorch-nn-practice/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/dl-foundations/pytorch-nn-practice/ Bridge NumPy implementations to PyTorch. Build QNetwork and PolicyNetwork with nn.Module for RL. DL Foundations Drills https://codefrydev.in/Reinforcement/dl-foundations/drills/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/dl-foundations/drills/ 15 drill problems covering neural networks, forward pass, backpropagation, optimizers, and training. DL Foundations Review & Bridge to RL https://codefrydev.in/Reinforcement/dl-foundations/review-and-bridge/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/dl-foundations/review-and-bridge/ Review deep learning and see why RL needs neural networks — the bridge to DQN and policy gradients. ML Foundations Review & Bridge to Deep Learning https://codefrydev.in/Reinforcement/ml-foundations/review-and-bridge/ Fri, 20 Mar 2026 00:00:00 +0000 https://codefrydev.in/Reinforcement/ml-foundations/review-and-bridge/ Review ML Foundations and see why linear models fail on complex patterns — motivation for neural networks. Phase 5 — DL foundations https://codefrydev.in/Reinforcement/learning-path/modules/phase-5/ Mon, 01 Jan 0001 00:00:00 +0000 https://codefrydev.in/Reinforcement/learning-path/modules/phase-5/ Neural networks, backpropagation, CNNs, PyTorch patterns, and a mini-project—directly reusable for DQN, policies, and actor-critic.