Learning materials for TensorFlow with specific examples and projects
Initial plan for contents:
- Introduction
- Colab
- Regression
- TPU vs GPU vs CPU
- Keras
- Image Processing
- Sequences
- NLP
- Image Generation
- CNN And Variations (R-CNN, fast R-CNN)
- Pre-trained Models
- Transfer Learning
- Saved Models
- TensorFlow Hub
- tf.data
- TFX
- TesnorFlow Serving
- Kubeflow
- Distributed Training
- TensorFlow.js
- TensorFlow Lite
- TensorBoeard
- TF-Agents
- Federated Machine Learning Examples
- Timeseries
- Recommendation System