Zero to GPT
Skill Path
This course will take you from no knowledge of deep learning to training your own GPT model. You'll solve real problems, like predicting the weather and translating languages, and you'll explore theoretical building blocks like gradient descent and backpropagation. This will prepare you to successfully train and use models in the real world.
- Intermediate friendly
- 1 month (5 hrs/week)
- Self paced
- 3 Courses
Overview of Zero to GPT courses
Key skills
- ✓ Learn how to train your own GPT model.
- ✓ Explore complex topics like transformers, GPU programming, and distributed training.
- ✓ Practice using gradient descent, dense networks, and classification with neural networks.
- ✓ Employ optimizers, PyTorch, regularization, and transformers.
Outline of Zero to GPT courses
1 steps · 3 courses
Zero to GPT [3 courses]
Progress from no knowledge of deep learning to training your own GPT model.
- Course 1
Neural Network Fundamentals
1hEstablish a strong foundation in neural network architectures, core mathematics, and training methods that underpin modern deep learning and GPT models.
Course Objectives ▾
- Define what a GPT model is (Generative Pre-trained Transformer)
- Explain how a GPT model operates
- Refresh linear algebra and calculus knowledge for deep learning
- Understand how gradient descent is used in deep learning
- Course 2
Network Architectures
0hBuild and train neural network architectures, including dense and recurrent models, to solve classification and sequence prediction problems.
Course Objectives ▾
- Understand different neural network architectures
- Build a dense neural network from scratch using Python
- Train a neural network on a classification task
- Predict sequence data using recurrent neural networks
- Course 3
Optimizing Network Parameters
0hOptimize deep learning models by tuning network parameters, applying backpropagation, and using regularization to improve performance.
Course Objectives ▾
- Build a 2-layer deep learning framework from scratch
- Optimize network parameters
- Prevent overfitting through regularization
Earn your Zero to GPT Certificate
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