Data Science
Deep Learning with PyTorch: Neural Networks from Scratch
6 ChaptersSelf-pacedAll Levels
Walid Hamdy
Senior UX Designer & Continuous Learner
About This Course
Build neural networks from the ground up using PyTorch. This course covers perceptrons, CNNs, RNNs, transformers, and GANs with mathematical intuition and practical implementations. Train models on real datasets and deploy them to production.
What You'll Learn
Tensors, Autograd, and PyTorch Basics
Building Neural Networks with nn.Module
Convolutional Neural Networks for Computer Vision
Recurrent Networks and Sequence Modeling
Transformers and Self-Attention
Generative Adversarial Networks
Course Curriculum
1
Tensors, Autograd, and PyTorch Basics
2
Building Neural Networks with nn.Module
3
Convolutional Neural Networks for Computer Vision
4
Recurrent Networks and Sequence Modeling
5
Transformers and Self-Attention
6
Generative Adversarial Networks
$99.99
One-time payment
Walid Hamdy
Senior UX Designer & Continuous Learner
This course includes:
6 video lessons
Lifetime access
Certificate of completion
Progress tracking