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PyTorch: From Basics to Advanced

Categories: AI
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About Course

This comprehensive course teaches you how to implement deep learning techniques using PyTorch, starting from the basics of neural networks and gradient descent to advanced topics like GANs and image generation. Throughout the course, you’ll learn image classification, GPU-based training, data augmentation, and more in Hindi. Whether you’re a beginner or looking to enhance your deep learning skills, this course provides all the necessary tools to build powerful AI models using PyTorch.
Author by Free codecamphindi .

What Will You Learn?

  • Basics of PyTorch and gradient descent in deep learning
  • Image classification with Convolutional Neural Networks (CNNs)
  • Training deep neural networks on a GPU
  • Using data augmentation and regularization techniques
  • Implementing Generative Adversarial Networks (GANs) for image generation

Course Content

Deep Learning with PyTorch course

  • PyTorch Basics and Gradient Descent
    00:00
  • PyTorch: Images and Logistic Regression
    00:00
  • Training Deep Neural Networks on a GPU with PyTorch
    00:00
  • Image Classification with Convolutional Neural Networks (CNNs)
    00:00
  • Data Augmentation, Regularization, and ResNets in PyTorch
    00:00
  • Image Generation with GANs in PyTorch
    00:00

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