tensorflow2.0-tutorial

Complete Tutorial for TensorFlow 2.0. The entire course is devided into 5 modules

Module 1 : Understanding of Neural Networks

Module 2 : Introducing TensorFlow using Neural Networks

1. Why TensorFlow ?
2. What's new in TensorFlow 2.0 ?
3. Basic Image Classification using TensorFlow
4. Text classification using TensorFlow
5. Structured Data Pipeline & Classification using TensorFlow
6. Regression using TensorFlow
7. Model Tuning
8. Save and restore models TensorFlow models

Module 3 : Dealing with Images using TensorFlow

Module 4 : Dealing with Text using TensorFlow

Module 5 : TensorFlow Customization concepts

Module 6 : Advanced Concepts for Text & Sequences, Image Generation

Module 7 : More TensorFlow for Production

1. Load & Prepare Data
2. Distributed Training
3. Keras usage
4. Accelarators
5. Data Input Pipelines
6. Serialization

Module 8 : Projects for understanding development to deployments