# Tag: LSTM (16)

**10 Trending Data Science Topics at ODSC East 2019**- Feb 7, 2019.

ODSC East 2019, Boston, Apr 30 - May 3, will host over 300+ of the leading experts in data science and AI. Here are a few standout topics and presentations in this rapidly evolving field. Register for ODSC East at 50% off till Feb 8.**KDnuggets™ News 18:n45, Nov 28: Your Favorite Python IDE/editor? Intro to Data Science for Managers**- Nov 28, 2018.

Also: 6 Goals Every Wannabe Data Scientist Should Make for 2019; Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices.**Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices**- Nov 21, 2018.

LSTMs are very powerful in sequence prediction problems because they’re able to store past information. This is important in our case because the previous price of a stock is crucial in predicting its future price.**Text Classification & Embeddings Visualization Using LSTMs, CNNs, and Pre-trained Word Vectors**- Jul 5, 2018.

In this tutorial, I classify Yelp round-10 review datasets. After processing the review comments, I trained three model in three different ways and obtained three word embeddings.**Taming LSTMs: Variable-sized mini-batches and why PyTorch is good for your health**- Jun 14, 2018.

After reading this, you’ll be back to fantasies of you + PyTorch eloping into the sunset while your Recurrent Networks achieve new accuracies you’ve only read about on Arxiv.**Generating Text with RNNs in 4 Lines of Code**- Jun 14, 2018.

Want to generate text with little trouble, and without building and tuning a neural network yourself? Let's check out a project which allows you to "easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code."**5 Fantastic Practical Natural Language Processing Resources**- Feb 22, 2018.

This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.**The 10 Deep Learning Methods AI Practitioners Need to Apply**- Dec 13, 2017.

Deep learning emerged from that decade’s explosive computational growth as a serious contender in the field, winning many important machine learning competitions. The interest has not cooled as of 2017; today, we see deep learning mentioned in every corner of machine learning.**7 Steps to Mastering Deep Learning with Keras**- Oct 30, 2017.

Are you interested in learning how to use Keras? Do you already have an understanding of how neural networks work? Check out this lean, fat-free 7 step plan for going from Keras newbie to master of its basics as quickly as is possible.**A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)**- Oct 5, 2017.

Looking at the strengths of a neural network, especially a recurrent neural network, I came up with the idea of predicting the exchange rate between the USD and the INR.**DeepMind Relational Reasoning Networks Demystified**- Aug 15, 2017.

Every time DeepMind publishes a new paper, there is frenzied media coverage around it. We examine what is and is not real in recent work described as “DeepMind Neural Network Can Make Sense of Objects Around It”.**Going deeper with recurrent networks: Sequence to Bag of Words Model**- Aug 8, 2017.

Deep learning makes it possible to convert unstructured text to computable formats, incorporating semantic knowledge to train machine learning models. These digital data troves help us understand people on a new level.**Using the TensorFlow API: An Introductory Tutorial Series**- Jun 28, 2017.

This post summarizes and links to a great multi-part tutorial series on learning the TensorFlow API for building a variety of neural networks, as well as a bonus tutorial on backpropagation from the beginning.**Top KDnuggets tweets, Feb 01-07: Learning to Learn by Gradient Descent by Gradient Descent**- Feb 8, 2017.

Also #DeepLearning Research Review: Natural Language Processing; K-Means, Other Clustering Algorithms: A Quick Intro with #Python; Why #DeepLearning Needs Assembler Hackers.**Deep Learning Key Terms, Explained**- Oct 12, 2016.

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions, including Biological Neuron, Multilayer Perceptron (MLP), Feedforward Neural Network, and Recurrent Neural Network.

**Top /r/MachineLearning Posts, August: Deep Learning paints in style of many famous painters**- Sep 7, 2015.

Deep Learning algorithm generating paintings in the styles of famous artists, Genetic algorithms pioneer John Holland passes away, Beginner Python data analysis tutorial, LSTM networks explained, and Google Thought Vectors.