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Ashish-Gore / repository
About this Specialization - In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow.
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Specialization Link: https://www.coursera.org/specializations/deep-learning
Certificate: Verify Here
This repo contains all my work for this specialization. All the code base and images, are taken from Deep Learning Specialization on Coursera.
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.
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Rmsharks4 /
This repository contains Jupyter Notebooks built whilst taking some introductory courses of DataCamp's Machine Learning Specialization. Note: These are about 1.5 years old, so if the courses have updated, then you might not find them as useful.
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Code: + There is no Program Assigments for this course. But this course comes with very interesting case study quizzes.
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