Deep Learning Path 🤖
A comprehensive learning path for deep learning, covering foundational concepts, optimization techniques, project structuring, convolutional neural networks, and sequence models. This guide provides a structured approach to mastering deep learning through the Deep Learning Specialization DLS.
Deep Learning Path 🤖
Deep Learning Specialization DLS
1. Neural Networks and Deep Learning
- Week 1: Introduction to Deep Learning
- Week 2: Neural Networks Basics
- Week 3: Shallow Neural Networks
- Week 4: Deep Neural Networks
2. Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- Week 1: Practical Aspects of Deep Learning
- Week 2: Optimization Algorithms
- Week 3: Hyperparameter Tuning, Batch Normalization and Programming Frameworks
3. Structuring Machine Learning Projects
- Week 1: ML Strategy
- Week 2: ML Strategy
4. Convolutional Neural Networks
- Week 1: Foundations of Convolutional Neural Networks
- Week 2: Deep Convolutional Models: Case Studies
- Week 3: Object Detection
- Week 4: Special Applications: Face Recognition & Neural Style Transfer
5. Sequence Models
- Week 1: Recurrent Neural Networks
- Week 2: Natural Language Processing & Word Embeddings
- Week 3: Sequence Models & Attention Mechanism
- Week 4: Transformers Networks