Systematic and complete notes (or guide) on getting started right away with Tensorflow. Inspired from "Complete Guide to Tensorflow for Deep Learning with Python" course offered via Udemy.
- Some knowledge of programming (preferably Python).
- Some basic knowledge of math (mean, standard deviation, etc..).
- Tensorflow Basics.
- Basic Neural Network for Regression using NumPy, Tensorflow.
- Use TensorFlow's Estimator API for Regression.
- 3.1 Regression exercise.
- Use TensorFlow's Estimator API for Classification.
- 4.1 Classification exercise.
- Use TensorFlow for Image Classification with Convolutional Neural Networks (CNN's).
- Use TensorFlow for Time Series Analysis with Recurrent Neural Networks (RNN's).
- Use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders.
- Create Generative Adversarial Networks (GAN's) with TensorFlow.