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# Deep-LearningAI
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> "“So, ask yourself: If what you're working on succeeds beyond your wildest dreams, would you have significantly helped other people? If not, then keep searching for something else to work on. Otherwise you're not living up to your full potential.” - Andrew Ng
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> “So, ask yourself: If what you're working on succeeds beyond your wildest dreams, would you have significantly helped other people? If not, then keep searching for something else to work on. Otherwise you're not living up to your full potential.” - Andrew Ng
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Repository for [Deep Learning](https://www.coursera.org/specializations/deep-learning) Course Specialization on [Coursera](https://www.coursera.org/). Activities, projects, algorithms, classes.
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**Dependencies:**
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- Python 3 (or superior)
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- Numpy
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- etc...
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- MatplotLib
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- Scikit Learn
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- TensorFlow
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**Schedule:**
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- Course 1: [Neural Networks and Deep Learning](https://www.coursera.org/learn/neural-networks-deep-learning/home/)
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- Course 2: [Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization](https://www.coursera.org/learn/deep-neural-network/)
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- Course 3: [Structuring Machine Learning Projects](https://www.coursera.org/learn/machine-learning-projects)
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- Course 4: [Convolutional Neural Networks](https://www.coursera.org/learn/convolutional-neural-networks)
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- Course 5: [Sequence Models](https://www.coursera.org/learn/nlp-sequence-models)
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**References:**
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- [DeepLearning.ai](https://www.deeplearning.ai/)
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- [Professor Andrew Ng](http://www.andrewng.org/)
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- [TensorFlow](https://www.tensorflow.org)
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- [Adam Optimizer Pape](https://arxiv.org/abs/1412.6980)
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![](http://i.imgur.com/jt7JzRd.png)

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