Artificial Intelligence
Introduction to Neural Networks & Deep Learning
Introduction to Neural Networks & Deep Learning is a course in AI & Machine Learning Mastery: From Zero to Practitioner. 10 lessons covering The Perceptron and Multi-Layer Perceptrons: Building the Brain's Blueprint; Backpropagation: How Neural Networks Learn; Activation Functions Deep Dive: Choosing the Right Spark.
10 published lessons · Online learning · Part of Learn & Grow
View the curriculum here. Sign in to access lessons under your learning plan.
What this course covers
- The Perceptron and Multi-Layer Perceptrons: Building the Brain's Blueprint · 13 min
- Backpropagation: How Neural Networks Learn · 14 min
- Activation Functions Deep Dive: Choosing the Right Spark · 12 min
- PyTorch Fundamentals: Your Deep Learning Workshop · 14 min
- Building Your First Neural Network in PyTorch · 15 min
- Regularisation for Neural Networks: Preventing Overfitting · 13 min
- CNNs for Image Classification: Architecture Intuition · 14 min
- Transfer Learning with Pre-Trained Models · 15 min
- RNNs and LSTMs for Sequential Data · 14 min
- Neural Network Architecture Selection Guide · 13 min
Continue your learning path
This course belongs to AI & Machine Learning Mastery: From Zero to Practitioner. Explore the full academy to see the other courses in this learning path.
How to get started
- Create your Learn & Grow account or sign in.
- Review the available access plans and choose the academy you need.
- Work through the lessons and activities in your learning dashboard.
Contact support if you need help choosing the right learning path.