Deep Learning Specialization
Course 1 : Neural Networks and Deep Learning
Course
Programming Assignments
- Week 2: Logistic Regression with a Neural Network Mindset
- Week 3: Planar Data Classification with One Hidden Layer
- Week 4: Building your Deep Neural Network: Step by Step
- Week 4: Deep Neural Network - Application
Course 2 : Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Course
Programming Assignments
- Week 1: Initialization
- Week 1: Regularization
- Week 1: Gradient Checking
- Week 2: Optimization Methods
- Week 3: TensorFlow Introduction
Course 3 : Structuring Machine Learning Projects
Course
Course 4 : Convolutional Neural Networks
Course
Programming Assignments
- Week 1: Convolutional Model, Step by Step
- Week 1: Convolution Model Application
- Week 2: Residual Networks
- Week 2: Transfer Learning with MobileNet
- Week 3: Car detection with YOLO
- Week 3: Image Segmentation with U-Net
- Week 4: Face Recognition
- Week 4: Art Generation with Neural Style Transfer
Course 5 : Sequence Models
Course
Programming Assignments
- Week 1: Building your Recurrent Neural Network - Step by Step
- Week 1: Dinosaur Island-Character-Level Language Modeling
- Week 1: Jazz Improvisation with LSTM
- Week 2: Operations on Word Vectors - Debiasing
- Week 2: Emojify
- Week 3: Neural Machine Translation
- Week 3: Trigger Word Detection
- Week 4: Transformers Architecture with TensorFlow