http://netvouz.com/henrik/tag/tensorflow?feed=rss henrik's bookmarks tagged "tensorflow" on Netvouz https://medium.com/@margaretmz/anaconda-jupyter-notebook-tensorflow-and-keras-b91f381405f8 So you want to get started to study deep learning? The first step is to set up the tools. In this post I will share with you how to set up Anaconda and Jupyter Notebook, and then install TensorFlow (including Keras). Artificial Intelligence AI henrik Mon, 05 Aug 2019 10:12:01 GMT https://medium.com/@muehler.v/node-js-meets-opencvs-deep-neural-networks-fun-with-tensorflow-and-caffe-ff8d52a0f072 In this tutorial we are going to learn how to load pretrained models from Tensorflow and Caffe with OpenCV’s DNN module and we will dive into two examples for object recognition with Node.js and OpenCV. Development > Machine Learning henrik Fri, 27 Apr 2018 05:47:12 GMT https://github.com/johnmartinsson/blood-glucose-prediction johnmartinsson/blood-glucose-prediction Hälsa > Diabetes, Gluten henrik Tue, 04 Sep 2018 13:04:18 GMT https://www.altumintelligence.com/articles/a/Time-Series-Prediction-Using-LSTM-Deep-Neural-Networks This article focuses on using a Deep LSTM Neural Network architecture to provide multidimensional time series forecasting using Keras and Tensorflow - specifically on stock market datasets to provide momentum indicators of stock price. The code for this framework can be found in the following GitHub repo (it assumes python version 3.5.x and the requirement versions in the requirements.txt file. Deviating from these versions might cause errors): https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction The following article sections will briefly touch on LSTM neuron cells, give a toy example of predicting a sine wave then walk through the application to a stochastic time series. The article assumes a basic working knowledge of simple deep n Artificial Intelligence AI henrik Tue, 23 Jul 2019 14:25:44 GMT