Custom layers – Keras
We recommend using tf.keras as a high-level API for building neural networks. That said, most TensorFlow APIs are usable with eager execution. import tensorflow as tf...
2018-11-26
Tagged: tensoflow
Custom training: basics
In the previous tutorial we covered the TensorFlow APIs for automatic differentiation, a basic building block for machine learning. In this tutorial we will use the...
2018-11-06
Automatic differentiation and gradient tape
In the previous tutorial we introduced Tensors and operations on them. In this tutorial we will cover automatic differentiation, a key technique for optimizing machine learning...
2018-10-29
Lesson 6: Eager execution basics – Keras
This is an introductory tutorial for using TensorFlow. It will cover: Importing required packages Creating and using Tensors Using GPU acceleration Datasets Import TensorFlow To get...
2018-10-22
Lesson 5: Save and restore models
Model progress can be saved during—and after—training. This means a model can resume where it left off and avoid long training times. Saving also means you...
2018-10-19
Lesson 4: Explore overfitting and underfitting
As always, the code in this example will use the tf.keras API, which you can learn more about in the TensorFlow Keras guide. In both of...
2018-10-18
Lesson 3: Predict house prices with regression
In a regression problem, we aim to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem,...
2018-10-17
Lesson 2: Text classification with Keras
After learning about basic classification at lesson 1: Basic classification. Today, we learn about text classification with Keras. This notebook classifies movie reviews as positive or...
2018-10-16
The 1st Lesson: Basic Classification
This guide trains a neural network model to classify images of clothing, like sneakers and shirts. It’s okay if you don’t understand all the details, this...
2018-10-15