Deep Learning Roadmap

Deep Learning Roadmap

Deep Learning Roadmap (Section 4)

Core Concepts (4-6 Weeks)

Neural Networks

  • Backpropagation mathematics
  • Activation functions
  • Weight initialization

Architectures

  • CNNs (ResNet, VGG)
  • RNNs/LSTMs
  • Transformers

Tools

  • TensorFlow/Keras
  • PyTorch Lightning
  • ONNX Runtime

Implementation Checklist

  • Build neural network from scratch (NumPy)
  • Image classification with CIFAR-10
  • Text generation with LSTM
  • Fine-tune BERT for NLP task

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