- Trending Categories
- Data Structure
- Networking
- RDBMS
- Operating System
- Java
- iOS
- HTML
- CSS
- Android
- Python
- C Programming
- C++
- C#
- MongoDB
- MySQL
- Javascript
- PHP

- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who

An input function that would be used to train or evaluate the model can be created in Tensorflow by using the ‘from_tensor_slices’ method and creating a dictionary of the features of the iris dataset.

**Read More:**
What is TensorFlow and how Keras work with TensorFlow to create Neural Networks?

We will use the Keras Sequential API, which is helpful in building a sequential model that is used to work with a plain stack of layers, where every layer has exactly one input tensor and one output tensor.

A neural network that contains at least one layer is known as a convolutional layer. We can use the Convolutional Neural Network to build learning model.

TensorFlow Text contains collection of text related classes and ops that can be used with TensorFlow 2.0. The TensorFlow Text can be used to preprocess sequence modelling.

We are using the Google Colaboratory to run the below code. Google Colab or Colaboratory helps run Python code over the browser and requires zero configuration and free access to GPUs (Graphical Processing Units). Colaboratory has been built on top of Jupyter Notebook.

print("Input function that is used to train or evaluate") def input_fn(features, labels, training=True, batch_size=256): dataset = tf.data.Dataset.from_tensor_slices((dict(features), labels)) if training: dataset = dataset.shuffle(1000).repeat() return dataset.batch(batch_size)

Input function that is used to train or evaluate

Code credit −https://www.tensorflow.org/tutorials/estimator/premade#first_things_first

The input function may generate the features dictionary and label list.

Data is loaded using pandas, and an input pipeline is built from this in-memory data

- Related Questions & Answers
- How can Tensorflow be used to train the model using Python?
- How can Tensorflow be used to train and compile the augmented model?
- After normalization, how can Tensorflow be used to train and build the model?
- How can Tensorflow be used to train and compile a CNN model?
- How can Tensorflow be used with Estimators to train the model for titanic dataset?
- How can TensorFlow be used to train the model for Fashion MNIST dataset in Python?
- How can TensorFlow used to train a linear model using Python?
- How can Keras be used to train the model using Python?
- How can Tensorflow be used to train the model with the stackoverflow question dataset using Python?
- How can Tensorflow and Estimator be used with Boosted trees to train and evaluate the model?
- How can Tensorflow be used to train the Illiad dataset using Python?
- How can Tensorflow be used to train and evaluate the titanic dataset?
- How can Keras be used to train the model using Python Program?
- How can Tensorflow be used to create a sequential model using Python?
- How can Tensorflow be used to compile the model using Python?

Advertisements