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Advanced Deep Learning with PyTorch

Overview

Skills Needed

Take your deep learning skills to the next level with PyTorch. Explore advanced techniques like convolutional neural networks, recurrent neural networks, and generative models with PyTorch.

  • Intermediate knowledge of PyTorch fundamentals
  • Proficiency in Python programming

Outline

  • Advanced Convolutional Neural Networks
  • Recurrent Neural Networks and LSTM
  • Attention Mechanisms in Deep Learning
  • Transformer Networks
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Transfer Learning for Fine-tuning
  • Reinforcement Learning with PyTorch
  • Distributed Training with PyTorch
  • Case Studies in Advanced Deep Learning with PyTorch
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