38 results
- Go to itemThis workflow trains a simple convolutional neural network (CNN) on the MNIST dataset using Keras. The enclosed pictures are from…3
- Go to itemThis workflow reads images of cats and dogs, performs some simple preprocessing, and trains and evaluates a Convolutional Neural …1
- Go to itemThis workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras. You can use either a code based …1
- Go to itemThis workflow performs classification on some sample images using the ResNet50 deep learning network architecture, trained on Ima…1
- Go to itemIn this workflow we pre-process the image data, which we will use throughout the following example workflows. Please note: The wo…1
- Go to itemThis workflow performs classification on some sample images using the InceptionV3 deep learning network architecture, trained on …1
- Go to itemIn this workflow we create a simple Convolutional Neural Network using the Keras Layer nodes. We train this network on our augmen…0
- Go to itemIn this workflow we pre-process and augment the image data, which we will use throughout the following example workflows.0
- Go to itemThis workflow trains a Convolution Neural Network (CNN) to classify the images of the MNIST Fashion Dataset into ten different cl…0
- Go to itemThis workflow reads images of cats and dogs, performs some simple preprocessing, and trains and evaluates a Convolutional Neural …0
- Go to itemThis workflow reads images of cats and dogs and applies a trained CNN to classify whether there is a dog or a cat on an image. Re…0
- Go to itemIn this workflow we are fine-tuning a ResNet50 (https://keras.io/api/applications/resnet/#resnet50-function). First, we download …0
- Go to itemThis workflow reads images of cats and dogs, performs some simple preprocessing, and trains and evaluates a Convolutional Neural …0
- Go to itemIn this workflow we pre-process the image data, which we will use throughout the following example workflows.0
- Go to itemInstead of creating our own network architecture as in the previous workflow "Train simple CNN", in this workflow we use the pre-…0
- Go to itemTrain a CNN model to classify MNIST images. - Define network structure - Prepare and read the dataset - Preprocess images - Train…0
- Go to itemTrain a CNN model to classify MNIST images. - Define network structure - Prepare and read the dataset - Preprocess images - Train…0
- Go to itemIn this workflow we create a simple Convolutional Neural Network using the DL Python Network Creator. We train this network on ou…0
- Go to itemIn this workflow we create a simple Convolutional Neural Network using the Keras Layer nodes. We train this network on our augmen…0
- Go to itemIn this workflow we pre-process and augment the image data, which we will use throughout the following example workflows.0