Deep Learning Specialization on Coursera (offered by deeplearning.ai)

Organization: deeplearning.ai
Coursera: Deep Learning Specialization
Instructor: Andrew Ng

Introduction

This repository contains all my programming assignments and quiz questions and their solutions for this specialization course. All the source code and data are taken from Deep Learning Specialization on Coursera. The solutions posted here are only for reference purposes.

About the Course:

As a student of CSE and a self-taught learner, I have completed many CS-related online courses from Coursera, Freecodecamp, Bohubrihi, and Datacamp. Sometimes it's very hard to find exact solutions and have to invest time in debugging and further reading. For completing this course I also stuck several times completing programming assignments and solving quiz questions. And I tried several times to pass these tasks/exams. When I was stuck for a long time I also took help from google/youtube/course_materials. This specialization course has 5 courses in total. And it will take several months to complete the course. I think this course gives me a proper path to becoming a deep learning engineer. When you are stuck, try to solve the problems by yourself and then take help from several sources to learn properly. I think this is the best deep learning course for those who want to learn deep learning from scratch. Thanks a lot to Andrew Ng and deepleaning.ai them.

Course Certificate

Programming Assignments

Course 1: Neural Networks and Deep Learning

[Week 1 - First week doesn't have any Programming Assignment]
Week 2 - Programming Assignment(1) - Logistic Regression with a Neural Network mindset
Week 3 - Programming Assignment(1) - Planar data classification with one hidden layer
Week 4 - Programming Assignment(1) - Building your Deep Neural Network: Step by Step
Week 4 - Programming Assignment(2) - Deep Neural Network for Image Classification: Application

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

Course 3: Structuring Machine Learning Projects

This course doesn't have any programming assignments.

Course 4: Convolutional Neural Networks

Course 5: Sequence Models

Quiz Solutions

Course 1: Neural Networks and Deep Learning

Week 1 Quiz - Introduction to deep learning
Week 2 Quiz - Neural Network Basics
Week 3 Quiz - Shallow Neural Networks
Week 4 Quiz - Key concepts on Deep Neural Networks

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

Week 1 Quiz - Practical aspects of deep learning
Week 2 Quiz - Optimization algorithms
Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks

Name		Name	Last commit message	Last commit date
Latest commit History 53 Commits
quiz_solutions		quiz_solutions
C1_W2_Logistic_Regression_with_a_Neural_Network_mindset_Cat_vs_NonCat.ipynb		C1_W2_Logistic_Regression_with_a_Neural_Network_mindset_Cat_vs_NonCat.ipynb
C1_W3_Planar_data_classification_with_one_hidden_layer.ipynb		C1_W3_Planar_data_classification_with_one_hidden_layer.ipynb
C1_W4_Building_your_Deep_Neural_Network_Step_by_Step.ipynb		C1_W4_Building_your_Deep_Neural_Network_Step_by_Step.ipynb
C1_W4_Deep_Neural_Network_Application.ipynb		C1_W4_Deep_Neural_Network_Application.ipynb
C2_W1_Gradient_Checking.ipynb		C2_W1_Gradient_Checking.ipynb
C2_W1_Initialization.ipynb		C2_W1_Initialization.ipynb
C2_W1_Regularization.ipynb		C2_W1_Regularization.ipynb
C2_W2_Optimization_methods.ipynb		C2_W2_Optimization_methods.ipynb
C2_W3_Tensorflow_introduction.ipynb		C2_W3_Tensorflow_introduction.ipynb
C4_W1_Convolution_model_Application.ipynb		C4_W1_Convolution_model_Application.ipynb
C4_W1_Convolution_model_Step_by_Step_v1.ipynb		C4_W1_Convolution_model_Step_by_Step_v1.ipynb
C4_W2_Residual_Networks.ipynb		C4_W2_Residual_Networks.ipynb
C4_W2_Transfer_learning_with_MobileNet_v1.ipynb		C4_W2_Transfer_learning_with_MobileNet_v1.ipynb
C4_W3_Autonomous_driving_application_Car_detection.ipynb		C4_W3_Autonomous_driving_application_Car_detection.ipynb
C4_W3_Image_segmentation_Unet_v2.ipynb		C4_W3_Image_segmentation_Unet_v2.ipynb
C4_W4_Art_Generation_with_Neural_Style_Transfer.ipynb		C4_W4_Art_Generation_with_Neural_Style_Transfer.ipynb
C4_W4_Face_Recognition.ipynb		C4_W4_Face_Recognition.ipynb
C5_W1_Building_a_Recurrent_Neural_Network_Step_by_Step.ipynb		C5_W1_Building_a_Recurrent_Neural_Network_Step_by_Step.ipynb
C5_W1_Dinosaurus_Island_Character_level_language_model.ipynb		C5_W1_Dinosaurus_Island_Character_level_language_model.ipynb
C5_W1_Improvise_a_Jazz_Solo_with_an_LSTM_Network_v4.ipynb		C5_W1_Improvise_a_Jazz_Solo_with_an_LSTM_Network_v4.ipynb
C5_W2_Emoji_v3a.ipynb		C5_W2_Emoji_v3a.ipynb
C5_W2_Operations_on_word_vectors_v2a.ipynb		C5_W2_Operations_on_word_vectors_v2a.ipynb
C5_W3_Neural_machine_translation_with_attention_v4a.ipynb		C5_W3_Neural_machine_translation_with_attention_v4a.ipynb
C5_W3_Trigger_word_detection_v2a.ipynb		C5_W3_Trigger_word_detection_v2a.ipynb
C5_W4_A1_Transformer_Subclass_v1.ipynb		C5_W4_A1_Transformer_Subclass_v1.ipynb
DL_Specialization_certificate.png		DL_Specialization_certificate.png
README.md		README.md

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Deep Learning Specialization on Coursera (offered by deeplearning.ai)

Introduction

About the Course:

Course Certificate

Programming Assignments

Course 1: Neural Networks and Deep Learning

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

Course 3: Structuring Machine Learning Projects

Course 4: Convolutional Neural Networks

Course 5: Sequence Models

Quiz Solutions

Course 1: Neural Networks and Deep Learning

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

Course 3: Structuring Machine Learning Projects

Course 4: Convolutional Neural Networks

Course 5: Sequence Models

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