After the 3.5 months spent for Phase 1 which is a Challenge Course for the AI Track, the most awaited announcements of candidates continuing to phase 2 has arrived. This is a huge thanks to Udacity and Bertelsmann for giving me another opportunity to continue learning AI, specifically Deep Learning.
Along with the announcements of scholarships came our awards from Phase 1 via Palak Sidani of Udacity.
Finished the Nanodegree last August 5, 2020!
- Lesson 1: Welcome to the Deep Learning Nanodegree Program
- Lesson 2: Anaconda
- Lesson 3: Applying Deep Learning
- Lesson 4: Jupyter Notebooks
- Lesson 5: Matrix Math and NumPy Refresher
- Lesson 1: Introduction to Neural Networks
- Lesson 2: Implementing Gradient Descent
- Lesson 3: Training Neural Networks
- Lesson 4: GPU Workspaces Demo
- Project: Predicting Bike-Sharing Patterns
- Lesson 6: Sentiment Analysis
- Lesson 7: Deep Learning with PyTorch
- Lesson 1: Convolutional Neural Network
- Lesson 2: Cloud Computing
- Lesson 3: Transfer Learning
- Lesson 4: Weight Initialization
- Lesson 5: Autoencoders
- Lesson 6: Style Transfer
- Project: Dog-Breed Classifier
- Lesson 7: Deep Learning in Cancer Detection
- Lesson 1: Recurrent Neuralnetworks
- Lesson 2: Long Short-Term Memory Networks (LSTMs)
- Lesson 3: Implementation of RNN and LSTM
- Lesson 4: Hyperparameters
- Lesson 5: Embeddings & Word2Vec
- Lesson 6: Sentiment Prediction RNN
- Project: Generate TV Scripts
- Lesson 7: Attention
- Lesson 1: Generative Adversarial Networks
- Lesson 2: Deep Convolutional GANs
- Lesson 3: Pix2Pix & CycleGAN
- Lesson 4: Implementing a CycleGAN
- Project: Generate Faces
- Lesson 1: Introduction to Deployment
- Lesson 2: Building a Model using SageMaker
- Lesson 3: Deploying and Using a Model
- Lesson 4: Hyperparameter Tuning
- Project: Deploying a Sentiment Analysis Model