- #TENSORFLOW KERAS DATA AUGMENTATION IMAGE SHIFTING HOW TO#
- #TENSORFLOW KERAS DATA AUGMENTATION IMAGE SHIFTING INSTALL#
- #TENSORFLOW KERAS DATA AUGMENTATION IMAGE SHIFTING CODE#
We can do this simply by dividing all pixel values by 255.0.Īnother thing we want to do is to flatten(in simple words rearrange them in form of a row) the label values using the flatten() function. This enables our model to easily track trends and efficient training. Currently, all the image pixels are in a range from 1-256, and we need to reduce those values to a value ranging between 0 and 1. The first thing in the process is to reduce the pixel values. Here we will exploring the 3 different ways mentioned above. With TensorFlow, we get a number of different ways we can apply data augmentation to image datasets. We need to process the data in order to send it to the network. Data augmentation is a technique used for introducing variety in training data thereby helping to mitigate overfitting. This includes capabilities such as: Sample-wise standardization. Keras provides the ImageDataGenerator class that defines the configuration for image data preparation and augmentation. But still, we cannot be sent it directly to our neural network. Like the rest of Keras, the image augmentation API is simple and powerful. As well as it is also visible that there is only a single label assigned with each image. Here we can see we have 5000 training images and 1000 test images as specified above and all the images are of 32 by 32 size and have 3 color channels i.e.
#TENSORFLOW KERAS DATA AUGMENTATION IMAGE SHIFTING CODE#
The output of the above code will display the shape of all four partitions and will look something like this
#TENSORFLOW KERAS DATA AUGMENTATION IMAGE SHIFTING INSTALL#
If the module is not present then you can download it using pip install tensorflow on the command prompt (for windows) or if you are using a jupyter notebook then simply type !pip install tensorflow in the cell and run it in order to download the module. This includes importing tensorflow and other modules like numpy.
#TENSORFLOW KERAS DATA AUGMENTATION IMAGE SHIFTING HOW TO#
In this article, we are going to discuss how to classify images using TensorFlow.