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This repository contains Jupyter Notebook Files of some state of the art projects that I completed during my internship program in deeplearning.ai. The project files are divided into 5 main categories or respective courses that the deeplearning.ai provides.

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Name	Name	Last commit message	Last commit date
Latest commit History 24 Commits
1. Neural Networks & Deep Learning	1. Neural Networks & Deep Learning
2. Improving Deep Neural Networks_Hyperparameter tuning_ Regularization	2. Improving Deep Neural Networks_Hyperparameter tuning_ Regularization
3. Structuring Machine Learning Projects	3. Structuring Machine Learning Projects
4. Convolutional Neural Networks	4. Convolutional Neural Networks
README.md	README.md

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Deep-Learning-Projects

This repository contains Jupyter Notebook Files of all the projects that I completed during my summer internship online program in deeplearning.ai (Coursera).

The project files are divided into 5 main categories or respective courses that the deeplearning.ai provides.

Course instructor Andrew Ng has helped me understand deepLearning and I would highly recommend this course to anyone intersted in the field of AI and Deeplearning.

The Courses Include:

Neural Networks and Deep Learning
Improving Deep Neural Network Hyperparameters
Structured Machine Learning Projects
Convolutional Neural Networks
Sequence Models ( Not Completed )

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This repository contains Jupyter Notebook Files of some state of the art projects that I completed during my internship program in deeplearning.ai. The project files are divided into 5 main categories or respective courses that the deeplearning.ai provides.

machine-learning deep-neural-networks deep-learning tensorflow numpy keras pandas recurrent-neural-networks lstm deep-learning-algorithms artificial-neural-networks matplotlib deeplearning convolutional-neural-networks attention-mechanism deeplearning-ai coursera-specialization gated-recurrent-units

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