Back in the days, computers simply carried out tasks from a set of instructions given to them. Now, with the immense advancements in artificial intelligence (AI), computers can now learn by example without human intervention with deep learning software. Hence, this is the reason behind the rise in popularity of deep learning applications. Deep learning is a promising and lucrative space that has achieved results that were thought to be impossible. It is providing many industries with innovative tools and valuable applications. For those who want to understand deep learning better, there are many available resources.

Back in the days, computers simply carried out tasks from a set of instructions given to them. Now, with the immense advancements in artificial intelligence (AI), computers can now learn by example without human intervention with deep learning software. Hence, this is the reason behind the rise in popularity of deep learning applications. Deep learning is a promising and lucrative space that has achieved results that were thought to be impossible. It is providing many industries with innovative tools and valuable applications. For those who want to understand deep learning better, there are many available resources.

Deep Learning Software: Deep Learning is a branch of machine learning for learning about multiple levels of representation and abstraction to make sense of the data such as images, sound, and text. It is a set of algorithms in machine learning which typically uses artificial neural networks to learn in multiple levels, corresponding to different levels of abstraction. The levels in these learned statistical models correspond to distinct levels of concepts, where higher level concepts are defined from lower level ones, and the same lower level concepts can help to define many higher level concepts. Deep learning architectures are Deep neural networks, Deep belief networks, Convolutional neural networks, Convolutional Deep Belief Networks, Deep Boltzmann Machines, Stacked Auto Encoders, Deep Stacking Networks, Tensor Deep Stacking Networks (T-DSN), Spike-and-Slab RBMs (ssRBMs), Compound Hierarchical-Deep Models, Deep Coding Networks and Deep Kernel Machines. Deep Learning applications are automatic speech recognition, image recognition and natural language processing.

Have you ever been in a situation where knowing another language would have come in handy? I remember standing on the platform at Tokyo Station watching my train to Nagano -- the last train of the day -- pulling away without me on it. What ensued was a frustrating hour of gestures, confused smiles, and head-shaking as I wandered the station looking for someone who spoke English (my Japanese is unfortunately nonexistent). It would have been really helpful to have a bilingual pal along with me to translate. Bilingual pals can be hard to find, but Google's new translation software may be an equally useful alternative.

Have you ever been in a situation where knowing another language would have come in handy? I remember standing on the platform at Tokyo Station watching my train to Nagano -- the last train of the day -- pulling away without me on it. What ensued was a frustrating hour of gestures, confused smiles, and head-shaking as I wandered the station looking for someone who spoke English (my Japanese is unfortunately nonexistent). It would have been really helpful to have a bilingual pal along with me to translate. Bilingual pals can be hard to find, but Google's new translation software may be an equally useful alternative.