Introduction to Tensorflow contains 7 in-depth lessons.
This new Ebook is written in an executable Jupyter Notebook Format. You can learn and try to run each and every code at your fingertip.
You will learn about the following
- How to implement a Tensorflow Text Classification Model.
- How to implement a Tenorflow Regression Model.
- Effective techniques to handle Overfitting
- How to save a trained TensorFlow model.
- What are Estimators in Tensorflow? How to implement them?
- Introduction to Convolutional Neural Networks.
- Introduction to Image Data Generator.
About this Ebook:
- Read on all devices: English executable Jupyter Notebook
- Tons of tutorials: 7 step-by-step lessons.
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