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Example MNIST images

Image Augmentation for Deep Learning With Keras

Data preparation is required when working with neural network and deep learning models. Increasingly data augmentation is also required on more complex object recognition tasks. In this post you will discover how to use data preparation and data augmentation with your image datasets when developing and evaluating deep learning models in Python with Keras. After […]

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Examples from the MNIST dataset

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 […]

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Machine Learning Tools

R Machine Learning Mini-Course

From Developer to Machine Learning Practitioner in 14 Days In this mini-course you will discover how you can get started, build accurate models and confidently complete predictive modeling machine learning projects using R in 14 days. This is a big and important post. You might want to bookmark it. Let’s get started. Who Is This […]

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Machine Learning Evaluation Metrics in R

Machine Learning Evaluation Metrics in R

What metrics can you use to evaluate your machine learning algorithms? In this post you will discover how you can evaluate your machine learning algorithms in R using a number of standard evaluation metrics. Let’s get started. Model Evaluation Metrics in R There are many different metrics that you can use to evaluate your machine […]

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