Deep Learning Specialization - Coursera

Assignments for Deep Learning Specialization Course on Coursera.

Course-1: Neural Networks and Deep Learning

Week-2: Logistic Regression as a Neural Network

• Python Basics With Numpy
• Logistic Regression with a Neural Network Mindset

Week-3: Shallow Neural Network

• Planar data classification with a hidden layer

Built a Bangla Handwritten Digits Recognization System based on the knowledge from this week.

Week-4: Deep Neural Network

• Building your Deep Neural Network: Step by Step
• Deep Neural Network Application

Built a Bangla Handwritten Digits Recognization System based on the knowledge from this week.

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

Week-1: Practical aspects of Deep Learning

• Initialization
• Regularization
• Gradient Checking

Week-2: Optimization algorithms

• Optimization

Week-3: Hyperparameter tuning, Batch Normalization and Programming Frameworks

• Tensorflow

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Course-3: Structuring Machine Learning Projects

This course does not have any Programming Assignments.

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Course-4: Convolutional Neural Networks

Week-1: Foundations of Convolutional Neural Networks

• Convolutional Model: step by step
• Convolutional Neural Networks: Application

Week-2: Deep convolutional models: case studies

• Keras Tutorial
• Residual Networks

Week-3: Deep convolutional models: case studies

• Autonomous Driving Application Car Detection

Week-4: Deep convolutional models: case studies

• Face Recognition
• Art Generation with Neural Style Transfer

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Course-5: Sequence Models

Week-1: Recurrent Neural Network

• Building a Recurrent Neural Network: step by step
• Dinosaurus Island: Character level language model
• Improvise a Jazz Solo with an LSTM Network

Week-2: Natural Language Processing and Word Embeddings

• Operations on word vectors
• Emojify

Week-3: Sequence models & Attention mechanism

• Neural machine translation with attention
• Trigger word detection