A powerful and popular recurrent neural network is the long short-term model network or LSTM. It is widely used because the architecture overcomes the vanishing and exposing gradient problem that plagues all recurrent neural networks, allowing very large and very deep networks to be created. Like other recurrent neural networks, LSTM networks maintain state, and […]
Archive | Deep Learning
8 Inspirational Applications of Deep Learning
It is hyperbole to say deep learning is achieving state-of-the-art results across a range of difficult problem domains. A fact, but also hyperbole. There is a lot of excitement around artificial intelligence, machine learning and deep learning at the moment. It is also an amazing opportunity to get on on the ground floor of some really powerful tech. […]
Deep Learning Courses
It can be difficult to get started in deep learning. Thankfully, a number of universities have opened up their deep learning course material for free, which can be a great jump-start when you are looking to better understand the foundations of deep learning. In this post you will discover the deep learning courses that you […]
Applied Deep Learning in Python Mini-Course
Deep learning is a fascinating field of study and the techniques are achieving world class results in a range of challenging machine learning problems. It can be hard to get started in deep learning. Which library should you use and which techniques should you focus on? In this post you will discover a 14-part crash course […]
How to Predict Sentiment from Movie Reviews Using Deep Learning (Text Classification)
Sentiment analysis is a natural language processing problem where text is understood, and the underlying intent is predicted. In this post, you will discover how you can predict the sentiment of movie reviews as either positive or negative in Python using the Keras deep learning library. After reading this post, you will know: About the […]
Object Classification with CNNs Using the Keras Deep Learning Library
Keras is a Python library for deep learning that wraps the powerful numerical libraries Theano and TensorFlow. A difficult problem where traditional neural networks fall down is called object recognition. It is where a model is able to identify the objects in images. In this post, you will discover how to develop and evaluate deep […]
Handwritten Digit Recognition Using Convolutional Neural Networks in Python with Keras
A popular demonstration of the capability of deep learning techniques is object recognition in image data. The “hello world” of object recognition for machine learning and deep learning is the MNIST dataset for handwritten digit recognition. In this post, you will discover how to develop a deep learning model to achieve near state-of-the-art performance on […]
Crash Course in Convolutional Neural Networks for Machine Learning
Convolutional neural networks are a powerful artificial neural network technique. These networks preserve the spatial structure of the problem and were developed for object recognition tasks such as handwritten digit recognition. They are popular because people can achieve state-of-the-art results on challenging computer vision and natural language processing tasks. In this post, you will discover […]
Display Deep Learning Model Training History in Keras
You can learn a lot about neural networks and deep learning models by observing their performance over time during training. Keras is a powerful library in Python that provides a clean interface for creating deep learning models and wraps the more technical TensorFlow and Theano backends. In this post, you will discover how you can […]
Regression Tutorial with the Keras Deep Learning Library in Python
Keras is a deep learning library that wraps the efficient numerical libraries Theano and TensorFlow. In this post, you will discover how to develop and evaluate neural network models using Keras for a regression problem. After completing this step-by-step tutorial, you will know: How to load a CSV dataset and make it available to Keras […]