Network Example Of A Simple Convolutional Net
This workflow shows how to create a simple convolutional network and use it for image classification.
Deep Learning
TensorFlow
- Read And Execute a SavedModel on MNIST
- Train MNIST classifier
- Training Tensorflow MLP
- Edit MNIST SavedModel
- Translating From Keras to TensorFlow
Keras
Machine Translation
Cats and Dogs
Generate Fairy Tales
Generate Product Names With LSTM
- Classify images using InceptionV3
- Neural Machine Translation
- Classify images using ResNet50
- Semantic Segmentation
- Wide and Deep Learning on Census Dataset
- Sentiment Analysis with Deep Learning
- Train MNIST classifier
- Sentiment Analysis with Deep Learning KNIME nodes
DL4J
DeepLearningTutorial MNIST
- Sentiment Classification Using Word Vectors
- Network Example Of A MLP For Images
- Housing Value Prediction Using Regression
- Celebrity Detection Using Alex Net
- Simple Regression Of Simple Functions
- Calculate Document Distance Using Word Vectors
- Network Example Of A Simple Convolutional Net
- Font Detection Using A Convolutional Net
- Basic Learner View Tutorial
- Basic Concepts Of Deeplearning4J Integration
- Simple Anomaly Detection Using A Convolutional Net
- Simple Document Classification Using Word Vectors
- Network Example Of A Simple MLP
Font Detection Using A Convolutional Net
This workflow shows an example of how to detect the fonts of letters using a convolutional network.
Basic Learner View Tutorial
This workflow shows an example of the View of the DL4J Feedforward Leaner nodes.
Basic Concepts Of Deeplearning4J Integration
This workflow shows basic concepts of the KNIME Deeplearning4J Integration.
Simple Anomaly Detection Using A Convolutional Net
This workflow shows how to do anomaly detection of the MNIST dataset using a convolutional network.
Simple Document Classification Using Word Vectors
This example shows how to transform a document into a vector using a word vector model and using these vectors for classification.
Network Example Of A Simple MLP
This workflow shows how to create an MLP with a softmax layer for classification.