×
MindLuster Logo

Deep with PyTorch

Track :

Programming

Lessons no : 6

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

What will you learn in this course?
  • Master building neural networks using PyTorch for deep learning applications and model training efficiency
  • Implement automatic differentiation and gradient computation for complex deep learning models in PyTorch
  • Design and optimize convolutional neural networks (CNNs) for image recognition and computer vision tasks with PyTorch
  • Develop recurrent neural networks (RNNs) and sequence models for natural language processing using PyTorch
  • Apply transfer learning and fine-tuning techniques to improve deep learning model performance in PyTorch
  • Troubleshoot and debug deep learning models effectively to enhance accuracy and computational efficiency

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 6


We Appreciate Your Feedback

Be the First One Review This Course

Excellent
0 Reviews
Good
0 Reviews
medium
0 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
0
0 Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

PyTorch is the premier open-source deep learning framework developed and maintained by Facebook. At its core, PyTorch is a mathematical library that allows you to perform efficient computation and automatic differentiation on graph-based models .