1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- W1: A New Programming Paradigm
- Sample Data -> MANUAL
- Housing Price (Ex 1) -> MANUAL
- W2: Introduction to Computer Vision
- Fashion MNIST -> TFDATA
- MNIST (Ex 2) -> TFDATA
- W3: Enhancing Vision with CNN
- Fashion MNIST -> TFDATA
- MNIST (Ex 3) -> TFDATA
- W4: Using Real-world Images
- Horse vs Human -> ZIP (T+V)
- Happy vs Sad (Ex 4) -> ZIP (T)
2. Convolutional Neural Networks in TensorFlow
- W1: Exploring a Larger Dataset
- Dogs vs Cats Small Dataset -> ZIP (T+V)
- Dogs vs Cats Full Dataset (Ex 5) -> ZIP (MIX)
- W2: Augmentation: A technique to avoid overfitting
- Dogs vs Cats Small Dataset -> ZIP (T+V)
- Horse vs Human -> ZIP (T+V)
- Dogs vs Cats Full Dataset (Ex 6) -> ZIP (MIX)
- W3: Transfer Learning
- Dogs vs Cats Small Dataset -> ZIP (T+V)
- Horse vs Human (Ex 7) -> ZIP (T+V)
- W4: Multiclass Classifications
- Rock Paper Scissor -> ZIP (T+V)
- Sign Language MNIST (Ex 8) -> CSV
3. Natural Language Processing in TensorFlow
- W1: Sentiment in text
- Sample Data -> MANUAL
- Sarcasm Data -> JSON
- BBC News Data (Ex 9) -> CSV
- W2: Word Embeddings
- IMDB Reviews -> TFDS
- Sarcasm Data -> JSON
- IMDB Subwords -> TFDS
- BBC News Data (Ex 10) -> CSV
- W3: Sequence models
- IMDB Subwords -> TFDS
- IMDB Reviews -> TFDS
- Sarcasm Data -> JSON
- Stanford Data (Ex 11) -> CSV
- W4: Sequence models and literature
- Sample Poem Data -> MANUAL
- Irish Poem Lyrics -> TXT
- Shakespeare Sonnets (Ex 12) -> TXT
4. Sequences, Time Series and Prediction
- W1: Sequences and Prediction
- Synthetic Sample Data -> MANUAL
- Sunspots Data -> CSV
- Synthetic Data IA -> MANUAL
- Synthetic Data II (Ex 13) -> MANUAL
- W2: DNN for Time Series
- Synthetic Data IA -> MANUAL
- Synthetic Data IB -> MANUAL
- Synthetic Data III (Ex 14) -> MANUAL
- W3: Recurrent Neural Networks for Time Series
- Synthetic Data IA -> MANUAL
- Synthetic Data III (Ex 15) -> MANUAL
- W4: Real-world time series data
- Synthetic Data IA -> MANUAL
- Sunspots Data -> CSV
- Temperature Data (Ex 16) -> CSV
All credits to Laurence Moroney for the wonderful course on Coursera.