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Deep Learning with PyTorch - GANS

“Deep Learning with PyTorch: Zero to GANs”.

This course is taught by Aakash N S of Jovian.ml, a project management and collaboration platform for machine learning.

Course Contents

The course is divided into 6 video lectures including interactive Jupyter notebooks. Each lecture is around 2 hours long.

  • Lesson 1: PyTorch Basics - Tensors & Gradients
  • Lesson 2: Working with Images and Logistic Regression
  • Lesson 3: Training Deep Neural Network on a GPU
  • Lesson 4: Image Classification using Convolutional Neural Networks
  • Lesson 5: Data Augmentation, Regularization and Residual Networks
  • Lesson 6: Generative Adversarial Networks (GANs) and Transfer Learning

Weekly Assignments

  • Week 1: Linear Regression
  • Week 2: Image Classification
  • Week 3: Feedforward neural networks

  • Course Project
  • Kaggle In-Class Competition
  • Certificate of Completion (Paid)

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