Codes for "tensorflow-in-practice" specilization. Compatible with tensorflow 2.X.
Course 1: Introduction to Tensorflow
Basic tutorial and example of tensorflow, from line regression to image classification.
Course 2: Convolutional Neural Network
Dig into convolutional neural network for computer vision tasks, strategies to improve performance: data augmentation, dropout, transfer learning, etc.
Course 3: Natural Language Processing
Dig into natural language processing, from preparing sentence vectors to applying NLP models like RNN, CNN, GRU and LSTM.
Course 4: Sequences, Time series and Prediction
Dig into time series models, from generating simulated data to applying RNN, CNN and LSTM models to real world data.