Deep Learning Specialization Solutions
2023 · Deep LearningAs I am nearly finished with Andrew Ng’s Deep Learning specialization, I thought I would create a comprehensive post listing my completed assignments. This course has taught me much about deep learning and its capabilities, and I strongly encourage anyone interested in the subject to take this course. Enjoy! :)
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
- W4A1 - Building your Deep Neural Network: Step by Step
- W4A2 - 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 are no programming assignments in the third course.
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 Architecture with TensorFlow
Disclaimer
If you are currently completing this specialization, I would strongly encourage you not to copy any of these solutions. This specialization is a treasure trove of information, and any hard work you put into it will doubtless be rewarded – please don’t take it for granted.
Enjoy Reading This Article?
Here are some more articles you might like to read next: