Master Deep Learning, and Break into AI
Instructor: Andrew Ng
This repo contains all my work for this specialization.
As a CS student my goal is to always keep learning. With time I got interested in the Deep Learning world and decided to dive in. I have found a rich world with endless possibilities, and thanks to Adnrew Ng and his colleagues I'm sure I acquire my knowledge from the best in the field.
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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
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[Week 1 - PA 1 - Initialization]
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[Week 1 - PA 1 - Initialization]
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There are 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 YOLO
- Week 4 - PA 1 - Art generation with Neural Style Transfer
- Week 4 - PA 2 - Face Recognition
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Course 5: Sequence Models
- Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step
- Week 1 - PA 2 - Dinosaur Island - Character-Level Language Modeling
- Week 1 - PA 3 - Jazz improvisation with LSTM
- Week 2 - PA 1 - Operations on word vectors - Debiasing
- Week 2 - PA 2 - Emojify
- Week 1 - PA 1 - Neural Machine Translation with Attention
- Week 1 - PA 2 - Trigger word detection