AI-DeepLearning
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.
Data Science
Machine Learning
Deep Learning
Neural Networks
Artificial Intelligence
Computational Graphs
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
