48 results
- 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 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 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 itemThis workflow reads images of cats and dogs, performs some simple preprocessing, and trains and evaluates a Convolutional Neural …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 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 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 shows how to edit a TensorFlow model using the TensorFlow Python API by adding an additional output to a model. The…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 DL Python Network Creator. We train this network on ou…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…1
- Go to itemIn this workflow we are fine-tuning a VGG1G network, similar to "Fine-tune VGG16 (Python)". However, we won't make use of the DL …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 focuses on using KNIME in order to employ transfer learning methods (VGG16 with imagenet weights) to do image classi…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
- 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 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.0