Deep Learning Specialization by Andrew Ng, deeplearning.ai.

Last update: Jan 7, 2023

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Overview

Deep Learning Specialization on Coursera

Master Deep Learning, and Break into AI

This is my personal projects for the course. The course covers deep learning from begginer level to advanced. Highly recommend anyone wanting to break into AI.

Instructor: Andrew Ng, DeepLearning.ai

Course 1. Neural Networks and Deep Learning

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

Week1 - Practical aspects of Deep Learning - Setting up your Machine Learning Application - Regularizing your neural network - Setting up your optimization problem
Week2 - Optimization algorithms
Week3 - Hyperparameter tuning, Batch Normalization and Programming Frameworks

Course 3. Structuring Machine Learning Projects

Week1 - Introduction to ML Strategy - Setting up your goal - Comparing to human-level performance
Week2 - ML Strategy (2) - Error Analysis - Mismatched training and dev/test set - Learning from multiple tasks - End-to-end deep learning

Course 4. Convolutional Neural Networks

Week1 - Foundations of Convolutional Neural Networks
Week2 - Deep convolutional models: case studies - Papers for read: ImageNet Classification with Deep Convolutional Neural Networks, Very Deep Convolutional Networks For Large-Scale Image Recognition
Week3 - Object detection - Papers for read: You Only Look Once: Unified, Real-Time Object Detection, YOLO
Week4 - Special applications: Face recognition & Neural style transfer - Papers for read: DeepFace, FaceNet

Course 5. Sequence Models

Week1 - Recurrent Neural Networks
Week2 - Natural Language Processing & Word Embeddings
Week3 - Sequence models & Attention mechanism

*************************************************************************************************************************************

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Comments

auxiliary python files missing

Hi enggen, quite good that you've downloaded all the coursework materials but I've noticed you didn't download the auxiliary python files. that would be a nice addition.

opened by MiroljubA 3
Where can I find yolo_anchors.txt?

Hello, thank you for sharing you work :) I am confused by how to get to file with the values of the anchors, which you call yolo_anchors.txt. Can you tell me how to get it? Thank you in advance :)

opened by mariaundich 0
Written Notes and Grammatical Correction

Hey enggen,

I hope you are doing well! I recently finished the specialization and added my written notes to the repo. This will help anyone who wants to refresh the topics taught in the courses. I have divided the notes into weeks so it's compatible with your repo and have dropped direct links to them in the README.md. I have also made some necessary grammar corrections.

Let's merge this!

Thanks

opened by Captainspockears 0
Breaking Coursera Honor Code

Hello @enggen, thank you for your willingness to share about the DL Specialization. I just wanted to remind you that every student who has enrolled in a course in Coursera (you, me, and many more) agreed to follow Coursera's Honor Code. Which literally says:

I will not make solutions to homework, quizzes, exams, projects, and other assignments available to anyone else (except to the extent an assignment explicitly permits sharing solutions). This includes both solutions written by me, as well as any solutions provided by the course staff or others.

Same as you, I completed the DL Specialization, and I personally do not like the idea of anyone having access to solved assignments because it means unethical users could go on and "complete" the Specialization without any effort other than copying your code. Opening this "shortcut" diminishes the value of this great Specialization.

I understand you have > 900 stars in this repository and it gets traction to your GitHub profile, but it's better to play a fair game and avoid breaking Coursera's Honor Code.

Just my humble opinion, thank you.

opened by jmcarrillog 0

Owner

Engen

Machine Learning Engineer with Interest in Deep Learning and Artificial General Intelligence (AGI). Lifelong learner.

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