PyTorch for Deep Learning Bootcamp

Course Name : PyTorch for Deep Learning Bootcamp
Students : 28,318
Duration : 52 hours & 7 articles
Avg Rating : 4.6 (3,870 ratings)
Original Price : $119.99
Discount Price : $14
Instructor / Provider : Andrei Neagoie, Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code

What You’ll Learn:

• PyTorch Fundamentals
  • Learn the basics of PyTorch tensors, the core data structure in machine learning.
  • Understand how to manipulate tensors for data representation.
• PyTorch Workflow
  • Master the complete workflow from data input to tensor creation and model training.
  • Understand the steps involved in building a PyTorch model.
• PyTorch Neural Network Classification
  • Build classification models in PyTorch for tasks like spam detection or fraud detection.
  • Learn how to train and evaluate neural network models for classification problems.
• PyTorch for Computer Vision
  • Develop a computer vision model with PyTorch to recognize and classify patterns in images.
  • Apply the latest advancements in computer vision algorithms used by companies like Tesla.

Frequently Bought Together

• PyTorch Custom Datasets
  • Learn how to load and use custom datasets in PyTorch.
  • Work with the FoodVision Mini dataset to classify images of food items.
• PyTorch Going Modular
  • Convert your Jupyter/Colab notebooks into reusable Python scripts.
  • Write modular and shareable PyTorch code for real-world applications.
• PyTorch Transfer Learning
  • Leverage pre-trained models to save time and resources.
  • Apply transfer learning to adapt large-scale models for specific tasks like FoodVision Mini.
• PyTorch Experiment Tracking
  • Set up a system to track, compare, and optimize different model versions.
  • Learn how to manage experiments and find the best-performing model.
• PyTorch Paper Replicating
  • Replicate machine learning research papers to understand cutting-edge techniques.
  • Implement the Vision Transformer architecture based on recent research.
• PyTorch Model Deployment
  • Learn how to deploy your trained models to the web.
  • Make your FoodVision Mini model available for others to test with their own images.

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