A new deep learning algorithm developed by Google can now identify pictures with an accuracy of 97.6%. Checkout this video: Google’s

If you’re looking to improve your understanding of math for deep learning, check out our list of the best books to

We take a look at generalization in deep learning – what it is, why it’s important, and some techniques for improving

Deep learning is a cutting-edge technology that is being used in a variety of industries, including unmanned systems. If you’re looking

Object removal with deep learning is a process of removing an object from an image through the use of deep learning

I created a machine learning model to better predict which Lending Club loans will be charged off. The model is available

Deep learning is a branch of machine learning that deals with algorithms that learn from data that is too complex for

Deep learning is a powerful tool for predictive modeling, but it can be challenging to know when and how to use

Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called

Deep learning is a powerful tool for solving complex problems, but it can be challenging to get the most out of

If you’re not familiar with hyperspectral deep learning, you’re missing out on a game-changing technology. Here’s a quick overview of how

How to Use Deep Learning for Object Detection: In this blog post, we’ll show you how to use deep learning for

Deep Learning is a branch of machine learning that deals with algorithms inspired by the structure and function of the brain.

Carlos E. Perez is a Deep Learning Expert. He has been working with neural networks for over 10 years. Checkout this

UCLA’s Deep Learning program is the best in the country according to a recent study. Check out our video for more

Deep learning has been shown to be effective on small datasets, even outperforming traditional machine learning techniques. But why is this?

Get all the help you need for the Coursera Deep Learning Specialization with these comprehensive solutions. Click to see video: Why

If you’re confused about the differences between machine learning, deep learning, and reinforcement learning, you’re not alone. In this blog post,

There’s a lot to consider when choosing an activation function for your deep learning model. In this blog post, we’ll explore

Imbalanced datasets are a common problem in machine learning classification. This post will explore a number of ways of handling imbalanced

Deep learning is a branch of machine learning that is transforming the medical field. In this blog post, we’ll explore how

Google’s Deep Learning Chip: What You Need to Know – In this blog post, we’ll take a look at Google’s new

A hidden layer is a layer in a neural network that is not directly connected to the input or output layer.

Deep learning is a powerful tool for detecting defects in manufactured products. In this blog post, we’ll show you how to

Deep learning is a subset of machine learning that is concerned with algorithms inspired by the structure and function of the

Whether you’re a seasoned data scientist or just getting started in the field, Courville’s Deep Learning Course is a must-have. This

Comparing Extreme Learning Machines (ELM) and Deep Learning (DL) to see which is better for different tasks and applications. Check out

Rapids is a software company that is shaking up the AI market with its innovative deep learning technology. For more information