Deep-Learning-Specialization-Coursera-2023

This repository contains all of the solved assignments of DEEPLEARNIG.AI course Deep Learning Specialization on Coursera.

Instructor: Prof. Andrew Ng

Course Link: https://www.coursera.org/specializations/deep-learning?

Programming Assignments

Course 1: Neural Networks and Deep Learning

W2A1 - Logistic Regression with a Neural Network mindset

W2A2 - Python Basics with Numpy

W3A1 - Planar data classification with one hidden layer

W3A1 - Building your Deep Neural Network: Step by Step¶

W3A2 - Deep Neural Network for Image Classification: Application

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

W1A1 - Initialization

W1A2 - Regularization

W1A3 - Gradient Checking

W2A1 - Optimization Methods

W3A1 - Introduction to TensorFlow

Course 3: Structuring Machine Learning Projects

There were no programming assignments in this course. It was completely thoeretical.

Course 4: Convolutional Neural Networks

W1A1 - Convolutional Model: step by step

W1A2 - Convolutional Model: application

W2A1 - Residual Networks

W2A2 - Transfer Learning with MobileNet

W3A1 - Autonomous Driving - Car Detection

W3A2 - Image Segmentation - U-net

W4A1 - Face Recognition

W4A2 - Neural Style transfer

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 am sharing these solutions with the intention of helping individuals who might be facing challenges. Although these solutions can save time, I highly recommend refraining from directly copying any part of the code, whether from my solutions or other sources, when working on the assignments for this specialization. The assignments are straightforward and offer an excellent opportunity to enhance one's learning. Lastly, I would like to express my appreciation to the deeplearning.ai team for providing this valuable resource to the community.