Master Deep Learning, and Break into AI
Created by deeplearning.py
I just accomplished all courses of Deep Learning Specialization! Congratulations to myself.
This my programming assignments for this speciazation. Because I cannot access to the courses which are ended, I foked Kulbear's work for Course 1-3 and add my assignments for course 4 Convolutional Neural Networks and course 5 Sequence Models. To notice, some small changes in code may exist because they are still updating the assignments.
All the rights belongs to [Deep Learning Specialization on Coursera(https://www.coursera.org/specializations/deep-learning).
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Course 1: Neural Networks and Deep Learning
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Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
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Course 3: Structuring Machine Learning Projects
- There is no PA for this course. But this course comes with very interesting case study quizzes.
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Course 4: Convolutional Neural Networks
- Week 1 - PA 1 - Convolutional Model: step by step
- Week 1 - PA 2 - Convolutional Model: application
- Week 2 - PA 1 - Keras - Tutorial - Happy House
- Week 2 - PA 2 - Residual Networks
- Week 3 - PA 1 - Car detection with YOLOv2
- Week 4 - PA 1 - Art generation with Neural Style Transfer
- Week 4 - PA 2 - Face Recognition for the Happy House
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Course 5: Sequence Models
- Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step
- Week 1 - PA 2 - Character level language model - Dinosaurus land
- Week 1 - PA 3 - Jazz improvisation with LSTM
- Week 2 - PA 1 - Operations on word vectors - Debiasing
- Week 2 - PA 2 - Emojify
- Week 3 - PA 1 - Neural Machine Translation with Attention
- Week 3 - PA 2 - Trigger word detection