abdur75648/Deep-Learning-Specialization-Coursera
abdur75648/Deep-Learning-Specialization-Coursera has 479 GitHub stars and 374 forks. GitHot measured 0 stars in 24 hours, +1 in 7 days, and +2 in 15 days. Last checked 2026-11-09 19:49 UTC. Last push 2024-02-09.
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
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README.md
OriginalDeep Learning Specialization Coursera [UPDATED Version 2021]
Announcement
[!IMPORTANT]
Check our latest paper (accepted in ICDAR'23) on Urdu OCR
This repo contains all of the solved assignments of Coursera's most famous Deep Learning Specialization of 5 courses offered by deeplearning.ai
Instructor: Prof. Andrew Ng
What's New
This Specialization was updated in April 2021 to include developments in deep learning and programming frameworks. One of the most major changes was shifting from Tensorflow 1 to Tensorflow 2. Also, new materials were added. However, Most of the old online repositories still don't have old codes. This repo contains updated versions of the assignments. Happy Learning :)
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
- There were no programming assignments in this course. It was completely thoeretical.
- Here is a link to the course
Course 4: Convolutional Neural Networks
Course 5: Sequence Models
- W1A1 - Building a Recurrent Neural Network - Step by Step
- W1A2 - Character level language model - Dinosaurus land
- W1A3 - Improvise A Jazz Solo with an LSTM Network
- W2A1 - Operations on word vectors
- W2A2 - Emojify
- W3A1 - Neural Machine Translation With Attention
- W3A2 - Trigger Word Detection
- W4A1 - Transformer Network
- W4A2 - Named Entity Recognition - Transformer Application
- W4A3 - Extractive Question Answering - Transformer Application
Disclaimer
I've uploaded these solutions here, only for being used as a help by those who get stuck somewhere. It may help them to save some time. I strongly recommend everyone to not directly copy any part of the code (from here or anywhere else) while doing the assignments of this specialization. The assignments are fairly easy and one learns a great deal of things upon doing these. Thanks to the deeplearning.ai team for giving this treasure to us.
Connect with me
Name: Abdur Rahman
Institution: Indian Institute of Technology Delhi
Find me on:
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