01
AI and deep learning foundations
AI & Machine Learning
PyTorch.
Learning deep learning concepts through tensors, autograd, neural networks and model training.
PT
01 / OVERVIEW
Understanding PyTorch
A brief introduction to the technology and its role in development.
01
What is PyTorch?
PyTorch is a deep learning framework used to build and train neural networks.
02 / LEARNING
What I've learned
The concepts and fundamentals I have explored while learning PyTorch.
02
Tensor operations
03
Autograd and gradient computation
04
Training loops
05
nn.Module and DataLoaders
06
MNIST classification
07
CNN fundamentals
08
Transfer learning fundamentals
03 / KNOWLEDGE
Topics I've explored
An overview of the major areas covered in my learning journey.
TOPIC 01
Tensor Operations
Exploring tensor operations as part of my PyTorch learning journey.
TOPIC 02
Autograd
Exploring autograd as part of my PyTorch learning journey.
TOPIC 03
Neural Networks
Exploring neural networks as part of my PyTorch learning journey.
TOPIC 04
Model Training
Exploring model training as part of my PyTorch learning journey.
TOPIC 05
DataLoaders
Exploring dataloaders as part of my PyTorch learning journey.
TOPIC 06
CNNs
Exploring cnns as part of my PyTorch learning journey.
TOPIC 07
Transfer Learning
Exploring transfer learning as part of my PyTorch learning journey.
04 / PRACTICAL EXPERIENCE
Projects using PyTorch.
A collection of projects where I've explored and applied PyTorch.
