aryan-goyal/Deep-Learning-Specialization

Neural networks with TensorFlow and Keras, hyperparameter tuning, regularization and optimization, CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization

Deep Learning Specialization

Master Deep Learning, and Break into AI

This is my personal projects for the course. Instructor: [Andrew Ng, DeepLearning.ai](https://www.coursera.org/instructor/andrewng, https://www.deeplearning.ai/)

Certificate

• Verified Certificate

Course 1. Neural Networks and Deep Learning

1. Week1 - Introduction to deep learning
2. Week2 - Neural Networks Basics
3. Week3 - Shallow neural networks
4. Week4 - Deep Neural Networks

Projects:

• Python Basics With Numpy
• Logistic Regression with a Neural Network mindset
• Building Neural Network
• Planar data classification with onehidden layer

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

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

Projects:

• TensorFlow Tutorial
• Initialization
• Optimization Methods
• Regularization

Course 3. Structuring Machine Learning Projects

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

Course 4. Convolutional Neural Networks

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

Projects:

• Keras tutorial - Emotion Detection in Images of Faces
• Convolutional Neural Networks: Step by Step
• Convolutional Neural Networks: Application
• Residual Networks
• Autonomous driving - Car detection
• Deep Learning & Art: Neural Style Transfer
• Face Recognition

Course 5. Sequence Models

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

Projects:

• Building your Recurrent Neural Network - Step by Step
• Character level language model - Dinosaurus Island
• Improvise a Jazz Solo with an LSTM Network
• Operations on word vectors
• Emojify!
• Neural Machine Translation
• Trigger Word Detection