233 results
- Go to itemThis workflow demonstrates how to do sentiment analysis by fine-tuning Google's BERT network. The idea is straight forward: A sma…12
- Go to itemThis workflow issues POST requests to the OpenAI API, and uses the model that powers ChatGPT to create a chat dashboard.6
- Go to itemThis is a simple example workflow for multivariant time series analysis using an LSTM based recurrent neural network and implemen…6
- 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 train a simple neural network for text classification, in this case sentiment analysis. The used netwo…3
- Go to itemRead and preprocess an image dataset to train a GAN (Generative Adversarial Network) that produces similar images. The Discrimina…3
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…3
- Go to itemThis is a simple example workflow for the deployment of a multivariant time series, LSTM based, recurrent neural network. It is b…2
- Go to itemHere we use word embedding instead of hot encoding, using a Word2Vec Learner node. The hidden layer size is set to 10, therefore …2
- Go to itemThis workflow demonstrates how to conduct multiclass classification using the Redfield BERT Nodes. After 2 epochs of training, th…2
- Go to itemThis workflow shows how to use Symanto Brain for zero-shot text classification for the task of emotions classification.1
- Go to itemThis workflow shows how to use Symanto Brain for zero-shot text classification for the task of sentiment classification.1
- Go to itemThis workflow shows how to use Symanto Brain for zero-shot text classification for the task of sentiment classification.1
- Go to itemThis workflow shows how to use Symanto Brain for zero-shot text classification for the task of sentiment classification.1
- Go to itemCompares the Keras Layer Nodes against the DL Python nodes. Builds four models which attempt to predict future sales. Two models …1
- Go to itemThis workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…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