Build your own Robust Deep Learning Environment in Minutes

Thanks to cheaper and bigger storage we have more data than what we had a couple of years back. We do owe our thanks to Big Data no matter how much hype it has created. However, the real MVP here is faster and better computing,which made papers from the 1980s and 90s more relevant (LSTMs were actually invented in 1997)! We are finally able to leverage the true power of neural networks and deep learning thanks to better and faster CPUs and GPUs. Whether we like it or not, traditional statistical and machine learning models have severe limitations on problems with high-dimensionality, unstructured data, more complexity and large volumes of data.