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A Complete Guide on TensorFlow 2.0 using Keras API, Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0
- Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin
- English
- English [uto-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
Enroll Now -> A Complete Guide on TensorFlow 2.0 using Keras API
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