48 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 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 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 create a simple Convolutional Neural Network using the DL Python Network Creator. We train this network on ou…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. If…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 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 itemExercise of the L4-DL Introduction to Deep Learning Course. Train a CNN model to classify handwritten digit images with the corre…0
- Go to itemIn this workflow we pre-process the image data, which we will use throughout the following example workflows.0
- Go to itemExercise of the L4-DL Introduction to Deep Learning Course. Train a CNN model to classify handwritten digit images with the corre…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 the image data, which we will use throughout the following example workflows. Please note: The wo…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 itemTrain a CNN model to classify MNIST images. - Define network structure - Prepare and read the dataset - Preprocess images - Train…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 itemThe workflow downloads, uncompresses and preprocesses the original MNIST dataset. The two "Normalize Images" components use the K…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 itemThis workflow shows how to edit a TensorFlow model using the TensorFlow Python API by adding an additional output to a model. The…0
- Go to itemThis workflow shows how a model from the TensorFlow Hub can be used in KNIME. MobileNet is used to predict the class of 6 images.…0