Personal albums from the perspective of a musician will make for great albums to sing about as they'll give the listeners a glimpse into the musician's life that they might or might not have explored before. Who wouldn't? It is so interesting to listen to how two people can perceive the same topic in such different ways. This is why people absolutely love listening to albums from the perspective of someone else. There are countless ways you can perceive events as they differ from people to people. Social Cause Album Name Ideas ~100/MonthĮveryone explores and interacts with the world in different ways.Happiness Album Name Ideas ~3,000/Month.The best thing is that you won't even have to worry about the break up album name because this generator will do that for you! If you don't believe that, then ask Taylor Swift, Justin Timberlake, and countless other musicians who have benefitted from break ups. You can easily release those stern, bittersweet feelings by writing down your thoughts and who knows, your break up album might turn out to be a huge hit. Penning your feelings and creating an album out of it will be one of the best things you can do after going through a rough break up. This is where you need a glass of Jack Daniels with rocks and a great break up album to write your sorrows away. Life is unpredictable and what you might love or desire right now might not reciprocate feelings the same way back to you. Whether it is breaking up with a lover or letting go of a close friend, it is inevitable. However, the pain and heartbreak of a break up is something that everyone has to endure at some point. So, if you’d like greater control and faster processing (your gear withstanding) you can either run up the source code (not trivial) or use one of the first commercial offerings Realmac’s Deep Dreamer.Ĭurrently in beta for OS X Yosemite and above, Deep Dreamer provides more control over how the ANN processes an image than most of the online services I’ve tried and not only handles static images but also creates Deep Dream videos! For £9.90 this is a cheap way to explore the world of Deep Dreaming. The problem with most on-line Deep Dream implementations is that you might have to wait for hours for your image to be processed (which is the case with Psychic VR Lab) and there’s not a lot of control over the parameters of the transmogrification (as with Google’s Deep Dream Generator). Here’s one of my photos morphed into a Deep Dream by Google (click to enlarge).ĭeep Dream has also been used to morph videos here’s a clip from the movie “Fear & Loathing in Las Vegas” that’s been processed and it is, quite obviously, really disturbing: If you want to play, er, evaluate this technology there are several Web sites such as Google’s own Deep Dream Generator and Psychic VR Lab that will transmogrify your own images using the Deep Dream software that Google open sourced as an iPython notebook. Many commentators have pointed out that the resulting images have a sort of Hieronymus Bosch feel but that’s very much a result of what Google's ANN had been taught which apparently included lots of dogs (as above) and pagoda-like buildings. It does this operation iteratively and the end results are, to say the least, psychedelic what has been termed by Google’s geeks as "Inceptionalism" (see the main image above). In an attempt to grok how ANNs function Google engineers created Deep Dream, an ANN that, when given an image, looks for things it’s already been taught and inserts them into the image. The connections have numeric weights that can be tuned based on experience, making neural nets adaptive to inputs and capable of learning."īut ANNs present researchers and engineers with a problem how they work is next to impossible to understand. Artificial neural networks are generally presented as systems of interconnected "neurons" which exchange messages between each other. "… a family of statistical learning models inspired by biological neural networks (the central nervous systems of animals, in particular the brain) and are used to estimate or approximate functions that can depend on a large number of inputs and are generally unknown. ![]() One of the key technologies used to implement deep learning systems is artificial neural networks, or ANNs: "… a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures, with complex structures or otherwise, composed of multiple non-linear transformations." Many of these products rely on an algorithm called "deep learning" which Wikipedia defines as: Artificial intelligence is all the rage these days with AI solutions for everything from scheduling meetings to Big Data mining in gastronomy appearing at an unprecedented rate.
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