Complete Guide to Machine Learning

👋Preface
Chapter 1: Introduction to Machine Learning
Chapter 2: Supervised Learning
Chapter 3: Unsupervised Learning
Chapter 4: Reinforcement Learning
Chapter 5: Deep Learning
- 1️⃣Introduction to Neural Networks
2️⃣Convolutional Neural Networks
3️⃣Recurrent Neural Networks
4️⃣Generative Adversarial Networks
Chapter 6: Transfer Learning
- 1️⃣Understanding the concept of transfer learning
2️⃣Pre-trained models and feature extraction
3️⃣Fine-tuning pre-trained models
Chapter 7: Evaluation and Deployment
- 1️⃣Model Evaluation Metrics
2️⃣Model Selection
3️⃣Deployment Strategies
Chapter 8: Case Studies and Applications
- 1️⃣Image Classification
2️⃣Natural Language Processing
3️⃣Recommender Systems
Conclusion
- 1️⃣Summary of main concepts
2️⃣Additional Resources
3️⃣Final project or challenge

Powered by GitBook

4️⃣Generative Adversarial Networks

PreviousRecurrent Neural Networks NextUnderstanding the concept of transfer learning

Last updated 1 year ago

On this page

Was this helpful?