TensorFlow 2.x in the Colaboratory Cloud An Introduction to Deep Learning on Google’s Cloud Service
You will: Be familiar with the basic concepts and constructs of applied deep learning Create machine learning models with clean and reliable Python code Work with datasets common to deep learning applications Prepare data for TensorFlow consumption Take advantage of Google Colab’s built-in support f...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berkeley, CA
Apress
2021, 2021
|
| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction to Deep Learning
- 2. Build Your First Neural Network with Google Colab
- 3. Working with TensorFlow Data
- 4. Working with Other Data
- 5. Classification
- 6. Regression
- 7. Convolutional Neural Networks
- 8. Automated Text Generation
- 9. Sentiment Analysis
- 10. Time Series Forecasting with RNNs