Keras

Keras

sentiment analysis leaves

How to do Sentiment Analysis with Deep Learning (LSTM Keras)
 Automatically Classify Reviews as Positive or Negative in Python

In this tutorial, we build a deep learning neural network model to classify the sentiment of Yelp reviews.

Following the step-by-step procedures in Python, you’ll see a real life example and learn:

– How to prepare review text data for sentiment analysis, including NLP techniques.
– How to tune the hyperparameters for the machine learning models.
– How to predict sentiment by building an LSTM model in Tensorflow Keras.
– How to evaluate model performance.
– How sample sizes impact the results compared to a pre-trained tool.
And more.

How to do Sentiment Analysis with Deep Learning (LSTM Keras)

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clock time series forecasting

3 Steps to Time Series Forecasting: LSTM with TensorFlow Keras
 A Practical Example in Python with useful Tips

We present a deep learning time series analysis example with Python. You’ll see:
– How to preprocess/transform the dataset for time series forecasting.
– How to handle large time series datasets when we have limited computer memory.
– How to fit Long Short-Term Memory (LSTM) with TensorFlow Keras neural networks model.

3 Steps to Time Series Forecasting: LSTM with TensorFlow Keras

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hyperparameter tuning lady jumping hyper

Hyperparameter Tuning with Python: Keras Step-by-Step Guide
 Why and How to use with an example of Keras

This is a practical guide to Hyperparameter Tuning in Python.
To improve your model’s performance, learn:
– why you should use this machine learning technique.
– how to use it with Keras and Tensorflow step-by-step with Python.

Hyperparameter Tuning with Python: Keras Step-by-Step Guide

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