140 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 itemThis ECG dataset is provided by Physikalisch-Technische Bundesanstalt (PTB) and is available on Kaggle (https://www.kaggle.com/sh…1
- Go to itemThis workflow uses sensor data from a wearable glucose monitoring device to generate 30 minute forecasts for glucose levels, then…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 itemThe workflow reads the downloaded image files and partitions into a training and hold-out set. Images are then split into multipl…0
- Go to itemThis is also the ECG dataset from Kaggle, put together from PhysioNet MIT-BIH Arrhythmia (https://www.kaggle.com/shayanfazeli/hea…1
- Go to itemThis workflow uses a Kaggle Dataset including 14K customer tweets towards six US airlines (https://www.kaggle.com/crowdflower/twi…1
- Go to itemThis workflow predicts time series (energy consumption) by an LSTM network with lagged values as input. The trained model is then…0
- Go to itemExercise of the L4-DL Introduction to Deep Learning Course. The dataset contains some demographic information from 32k adults col…0
- Go to itemExercise of the L4-DL Introduction to Deep Learning Course. The dataset contains some demographic information from 32k adults col…0
- Go to itemExercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to train an autoencoder model to detect …0
- Go to itemExercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to apply a trained autoencoder to new tr…0
- Go to itemExercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to train an autoencoder model to detect …0
- Go to itemExercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to apply a trained autoencoder to new tr…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 replicates the exercises of session 2, combining training and deployment using Integrated deployment. The purple bo…0
- Go to itemThis workflow executes the model generated by the Integrated deployment to get a prediction of fraudolent transaction.0