Nội dung khóa học

• Buổi 1: Tabular data
Chủ đề:

- Environment setup: Colab + Github, (JupyterLab + Github),...
- Intro to Deep Learning: What Why How?
- Foundation to Neural Network:
+ Basic elements of ANN:
+ Neurons, layers, activation funtion, cost function, ...
+ Hyperparams vs Params
+ Regularization
+ Practice with Tensorflow/Keras

Mục tiêu:

Ứng dụng:

Case Study:

Breast Cancer Prediction

• Buổi 2: Computer Vision
Chủ đề:

- Intro to Computer Vision + Applications
- General workflow of a CV task
- Intro + practice with useful libraries for images: OpenCV
- Convolutional Neural Network (CNN): architecture, convolution, filter, ...
- Practice CNN with Tensorflow on case study.

Mục tiêu:

Ứng dụng:

Case Study:

• Buổi 3: Computer Vision (tiếp)
Chủ đề:

- Intro to pretrained learning with CNN-based: VGG19, Inceptionv3 (GoogLeNet), ResNet50, EfficientNet (utility) + practicce on case study
- Data augmentation (optional)
- Evaluation method and metrics + Tips and tricks to handle overfit/underfit

Mục tiêu:

Ứng dụng:

Case Study:

Face Mask Detection

• Buổi 4: Natural Language Processing - Text
Chủ đề:

Natural Language Processing - Text
- Intro to NLP + Applications
- General workflow of aNLP task for sequence
- Word embeddings: Lexical + Syntatic + Semantic
+ Summary of tokenizers + preprocessing steps (play with regex)
+ Skip gram vs CBOW
- Intro + practice with useful libraries for texts: NLTK, SentencePiece, Pyvi,...

Mục tiêu:

Ứng dụng:

Case Study:

• Buổi 5: Natural Language Processing - Text (tiếp)
Chủ đề:

- Recurrent Neural Network, LSTM, Transformers mechanism
- Intro to Huggingface and SOTA pretrained learning: BERT and its variants, GPT, XLNet, ...
- Evaluation method and metrics for each category of NLP tasks
- Case study: Coronavirus tweets NLP - Text Classification

Mục tiêu:

Ứng dụng:

Case Study:

• Buổi 6: Natural Language Processing - Speech
Chủ đề:

Natural Language Processing - Speech
- Intro + Applications
- General workflow of aNLP task for speech
- Practice with useful libraries for speech: librosa, ...
+ Read/write, split channel,...

Mục tiêu:

Ứng dụng:

Case Study:

• Buổi 7: Natural Language Processing - Speech (tiếp)
Chủ đề:

- Practice with learned model on NLP tasks.
- Pretrained model for speech: YAMNET, Wavenet, DeepSpeech, ...

Mục tiêu:

Ứng dụng:

Case Study:

Speech Emotion Recognition

• Buổi 8: Time Series
Chủ đề:

- Intro to sequence and timeseries + Applications
- General workflow of a NLP task for speech
- Foundation of timeseries data:
+ Visualization of trends, seasonality...
+ Preprocessing: smooth/resampling, stationarity...
+ Feature engineering

Mục tiêu:

Ứng dụng:

Case Study:

• Buổi 9: Model contest
Chủ đề:

- Model contest

Mục tiêu:

Ứng dụng:

Case Study:

Stock Market Prediction - warnings about prophet

• Buổi 10: Demo và kết thúc khóa học
Chủ đề:

POC (Optional)
Demo: Build visualization dashboard with Streamlit

Mục tiêu:

Ứng dụng:

Case Study: