TensorFlow 2.0: A Complete Guide on the Brand New TensorFlow
Ditulis pada: January 16, 2021

- BESTSELLER
- Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin
- English
- English [Auto-generated]
PREVIEW THIS COURSE - GET COUPON CODE
What you'll learn
- How to use Tensorflow 2.0 in Data Science
- Important differences between Tensorflow 1.x and Tensorflow 2.0
- How to implement Artificial Neural Networks in Tensorflow 2.0
- How to implement Convolutional Neural Networks in Tensorflow 2.0
- How to implement Recurrent Neural Networks in Tensorflow 2.0
- How to build your own Transfer Learning application in Tensorflow 2.0
- How to build a stock market trading bot using Reinforcement Learning (Deep-Q Network)
- How to build Machine Learning Pipeline in Tensorflow 2.0
- How to conduct Data Validation and Dataset Preprocessing using TensorFlow Data Validation and TensorFlow Transform.
- Putting a TensorFlow 2.0 model into production
- How to create a Fashion API with Flask and TensorFlow 2.0
- How to serve a TensorFlow model with RESTful API
- Requirements
- Some maths basics like knowing what is a differentiation or a gradient
- Python basics