Deep Learning Specialization

Collection of programming assignments of Andrew Ng's Deep Learning Specialization on Coursera.

Neural Networks and Deep Learning

• Week 2: Logistic Regression with a Neural Network mindset
• Week 3: Planar data classification with one hidden layer
• Week 4 part one: Building your Deep Neural Network Step by Step
• Week 4 part two: Deep Neural Network Application

Some notes

scipy.ndimage.imread() is deprecated; use plt.imread() instead
scipy.misc.imresize() is deprecated; use resize() from skimage.transform instead

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Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

• Week 1: Initialization
• Week 1: Regularization
• Week 1: Gradient Checking
• Week 2: Optimization
• Week 3: Tensorflow Tutorial

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Structuring Machine Learning Projects

• Week 1 Quiz: Bird Recognition
• Week 2 Quiz: Autonomous Driving

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Convolutional Neural Networks

• Week 1: Convolutional Model: step by step
• Week 1: Convolutional model: application
• Week 2: Keras Tutorial
• Week 2: Residual Networks
• Week 3: Car detection with YOLO
• Week 4: Art generation with Neural Style Transfer
• Week 4: Face Recognition

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Sequence Models

• Week 1: Building a recurrent neural network - step by step
• Week 1: Dinosaur Island - Character-Level Language Modeling
• Week 1: Jazz improvisation with LSTM
• Week 2: Operations on word vectors - Debiasing
• Week 2: Emojify
• Week 2: Word Vector Representation
• Week 3: Neural Machine Translation with Attention
• Week 3: Trigger word detection