Coursera's Deep Learning Specialization

About

The Deep Learning Specialization is a foundational program that will assist students in learning the benefits, drawbacks, and implications of deep learning as well as preparing them to take part in the creation of cutting-edge AI technology. The DeepLearning.AI foundation presented this specialization on Coursera, hence,images,datasets copy rights belong to DeepLearning.AI and their partners. Building and training neural network architectures like Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Transformers as well as learning how to optimize them using techniques like Dropout, BatchNorm, and Xavier/He initialization were all part of this Specialization. Including the applications of NNs in real-world scenarios like speech recognition, music synthesis, chatbots, machine translation, and natural language processing using Python and TensorFlow.

This repository contains all of my submissions for the specialization courses requirements and made for educational purposes only.

Content

1. Neural Networks and Deep Learning

   • Week1
     • No programming assignments for this week!
   • Week2
     • Numpy basics
     • recognize cats with Logistic Regression
   • Week3
     • Single Hidden Layer Planar Data Classification
   • Week4
     • Building Deep Neural Network: Step by Step
     • Cats binary classifier with deep neural networks

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

   • Week1
     • Parameter initialization
     • Football players' position recommendation model regularization
     • Fraud detection model gradient checking
   • Week2
     • Optimization Methods implementation
   • Week3
     • TensorFlow Introduction

3. Structuring Machine Learning Projects

   • No programming assignments for this course!

4. Convolutional Neural Networks

   • Week1
     • Building Convolutional Model from scratch
     • Mood classifer and Sign language digit identifier with CNN
   • Week2
     • Sign language classifier with ResNets
     • Alpaca/Not Alpaca classifier with pre-trained MobileNet
   • Week3
     • YOLO Car_detection for Autonomous driving
     • U-Net Image_segmentation for Autonomous driving
   • Week4
     • Face Recognition
     • Neural Style Transfer for Art Generation

5. Sequence Models

   • Week1
     • RNNs from scratch
     • Dinosaur Island-Character-Level name generator
     • Jazz music generator with LSTM
   • Week2
     • Word Vectors bias reduction and modifying pre-trained embeddings
     • Baseline and LSTM EMOJIFIER
   • Week3
     • Neural Machine Translation for date conversion
     • Trigger Word Detector
   • Week4
     • Transformers Architecture with TensorFlow