Deep Learning is the most sought-after field of machine learning today due to its ability to produce amazing, jaw-dropping results. However, it was not always the case, and there was a time around 10 years back when deep learning was not a field considered by many to be practical. The long history of deep learning shows that researchers proposed many theories and architectures between the 1950s to 2000s. However, training large neural networks used to take a ridiculous amount of time due to the limited hardware support of those times. Thus, neural networks were deemed highly impractical by the machine