Programming assignments collection from Coursera Specialization on Deep Learning.

• [Course1] Neural Networks and Deep Learning
  1. [Part1] Python basics with Numpy ✔️
  2. [Part2] Logistic Regression with a Neural_Network mindset ✔️
  3. [Part3] Planar data classification with one hidden layer ✔️
  4. [Part4] Building your Deep Neural Network step by step ✔️
  5. [Part5] Deep Neural Network Application ✔️
• [Course2] Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
  1. [Part1] Initialization ✔️
  2. [Part2] Regularization ✔️
  3. [Part3] Gradient Checking ✔️
  4. [Part4] Optimization Methods ✔️
  5. [Part5] TensorFlow Introduction ✔️ ❗BROKEN NOTEBOOK❗
• [Course4] Convolutional Neural Networks
  1. [Part1] Convolution model step by step ✔️
  2. [Part2] Convolution model Application ✔️
  3. [Part3] Keras Tutorial ✔️
  4. [Part4] Residual Networks ✔️ ❗BROKEN NOTEBOOK❗
  5. [Part5] Transfer learning with MobileNet ✔️
  6. [Part6] Autonomous driving application car detection ✔️ ❗BROKEN NOTEBOOK❗
  7. [Part7] Face Recognition ✔️
  8. [Part8] Art Generation with Neural Style Transfer ✔️
• [Course5] Sequence Models
  1. [Part1] Building a Recurrent Neural Network step by step ✔️
  2. [Part2] Dinosaurus Island Character level language model
  3. [Part3] Improvise a Jazz Solo with an LSTM Network ❌
  4. [Part4] Operations on word vectors ❌
  5. [Part5] Emojify ❌
  6. [Part6] Neural machine translation with attention ❌
  7. [Part7] Trigger word detection ❌
  8. [Part8] (EXTRA) Transformer Network ❌
  9. [Part9] (EXTRA) Embedding plus Positional Encoding ❌
  10. [Part10] (EXTRA) Transformer application Named Entity Recognition ❌
  11. [Part11] (EXTRA) QA Dataset ❌