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This repository contains the projects completed during the Deep Learning specialization offered by deeplearning.ai

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Deeplearning.ai

This repository contains the projects completed during the Deep Learning specialization offered by deeplearning.ai

The specialization is divided into 5 courses taught by Prof. Andrew Ng. The courses offered in this specialization are:-

  1. Neural networks & Deep learning

  2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  3. Structuring Machine Learning Projects

  4. Convolutional Neural Networks

  5. Sequence Models

The Projects covered under Course-1 are as follows:-

a) Logistic Regression with a Neural Network mindset

b) Planar data classification with one hidden layer

c) Building your Deep Neural Network Step by Step

d) Deep Neural Network Application

The Projects covered under Course-2 are as follows:-

a) Initialization

b) Gradient Checking

c) Regularization

d) Optimization_Methods

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This repository contains the projects completed during the Deep Learning specialization offered by deeplearning.ai

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