A Practical Introduction to Deep Learning with Caffe and Python

Deep learning is the new big trend in machine learning. It had many recent successes in computer vision, automatic speech recognition and natural language processing.
The goal of this blog post is to give you a hands-on introduction to deep learning. To do this, we will build a Cat/Dog image classifier using a deep learning algorithm called convolutional neural network (CNN) and a Kaggle dataset.
This post is divided into 2 main parts. The first part covers some core concepts behind deep learning, while the second part is structured in a hands-on tutorial format.
In the first part of the hands-on tutorial (section 4), we will build a Cat/Dog image classifier using a convolutional neural network from scratch. In the second part of the tutorial (section 5), we will cover an advanced technique for training convolutional neural networks called transfer learning. We will use some Python code and a popular open source deep

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The “Cobra Effect” that is disabling paste on password fields

Back in the day when the British had a penchant for conquering the world, they ran into a little problem on the subcontinent; cobras. Turns out there were a hell of a lot of the buggers wandering around India and it also turned out that they were rather venomous which didn’t sit well with the colonials. Ingenious as the British were, they decided to offer the citizens a bounty – you hand in dead cobras that would otherwise have bitten some poor imperialist and you get some cash. Problem solved. Unfortunately, the enterprising locals saw things differently and interpreted the “cash for cobras” scheme as a damn good reason to start breeding serpents and raking in the dollars. Having now seen the flaw in their original logical, the poms quickly scrapped the scheme meaning no more snake bounty. Naturally the only thing for the locals to do with their now

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