Basic Image Classification with Tensorflow

In this course, you will learn how to perform image classification with Tensorflow. You will train a neural network model to classify images of clothes.

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Basic Image Classification with Tensorflow

Task List


We will cover the following tasks in 58 minutes:


Introduction

  • A look at what we will create.
  • A look at the development environment.

Introduction

Importing Tensorflow and the Dataset

  • Importing Tensorflow and Keras.
  • Importing the Fashion MNIST dataset.
  • Splitting data in training and test sets.
  • A look at shape of the data.

Importing Tensorflow and the Dataset

Data Preprocessing

  • Feature scaling.
  • Plotting images from the dataset.

Data Preprocessing

Building the Model

  • Creating a Sequential model.
  • Adding layers to our neural network model.
  • Compiling the model.

Building the Model

Training the Model

  • Training by fitting the training data to the model.
  • Model evaluation on the test set.
  • Understanding overfitting.

Training the Model

Making Predictions

  • Making predictions on the test data.
  • Plotting predictions in the Notebook.
  • Making prediction on a single image input.

Making Predictions

Watch Preview

Note: The actual session is completely hands-on where you interact with the software while watching the host's (Amit) instructions. You can preview the instructions here

Host: Amit


Amit

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Frequently Asked Questions


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