Continual Neural Networks like twitter (LSTM / RNN) Application by having Keras is that Python

#RNN #LSTM #RecurrentNeuralNetworks #Keras #Python #DeepLearning

In this tutorial, we implement Recurrent Neural Networks with LSTM as example with keras and Tensorflow backend. The same procedure can be followed for a Simple RNN.

We implement Multi layer RNN, visualize the convergence and results. We then implement for variable sized inputs.

Recurrent Neural Networks RNN / LSTM / GRU are a very popular type of Neural Networks which captures features from time series or sequential data. It has amazing results with text and even Image Captioning.

In this example we try to predict the next digit given a sequence of digits. Same concept can be extended to text images and even music.

Find the codes here
GitHub : https://github.com/shreyans29/thesemicolon
Good Reads : http://karpathy.github.io/

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Neural Networks like twitter in time Show Prediction

Scott Crespo will cover the fundamentals of time series prediction and neural networks, and how to implement these sequence predictors using Python, TensorFlow, and Keras.

Time series predictors that use neural networks have found applications in areas such as high-frequency trading, smart grid technology, and business intelligence. Due to the unique nature of neural networks, they can efficiently learn from datasets that may have an extremely large number of features and observations.

LSTM Neural Networks like twitter by the due date Show Guess how to IoT Facts Skill Internet meeting that in fact Jakob Aungiers

Data Science for IoT Conference – London – 26th Jan 2017.
Jakob Aungiers discussing the use of LSTM Neural Network architectures for time series prediction and analysis followed by a Tensorflow/Keras/Python demo.

Slides: https://goo.gl/j9jH4X

GitHub Project: https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

In reference to blog article: http://www.Jakob-Aungiers.com/articles/a/LSTM-Neural-Network-for-Time-Series-Prediction