Programming assignments in the deep learning courses (in total there are 5 courses as of creating this repo) Please do not use the code here for cheating, write your own code for solving the assignments.
Files names follow this pattern: Cx_Wy_Az_title.py where: x is number of course, y number of week inside this course and z is number of assignment inside this week and title is just title of the assignment. List of the courses:
- C1 or Course 1 is : Neural Networks and Deep Learning
- C2 or Course 2 is : Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
- C3 or Course 3 is : Structuring Machine Learning Projects
- C4 or Course 4 is : Convolutional Neural Networks
- C5 or Course 5 is : Sequence Models
- Week2: Logistic Regression with a Neural Network mindset
- Week3: Planar data classification with a hidden layer
- Week4: Building your deep neural network: Step by Step
- Week4: Deep Neural Network Application
Course 2 Assignments: [Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization]
- Week1: Initialization
- Week1: Regularization
- Week1: Gradient Checking
- Week2: Optimization
- Week3: Tensorflow
NONE
- Week1: Convolutional Model: step by step
- Week1: Convolutional model: application
- Week2: Residual Networks
- Week3: Car detection with YOLO
- Week4: Art generation with Neural Style Transfer
- Week4: Face Recognition
- Week1: Building a recurrent neural network - step by step
- Week1: Dinosaur Island - Character-Level Language Modeling
- Week1: Jazz improvisation with LSTM
- Week2: Operations on word vectors - Debiasing
- Week2: Emojify
- Week3: Neural Machine Translation with Attention
- Week3: Trigger word detection