Top 8 Deep Learning Concepts Every Data Science Professional Must Know

"Deep learning is making a good wave in delivering a solution to difficult problems that have been faced in the field of artificial intelligence (AI) for so many years, as quoted by Yann LeCun, Yoshua Bengio & Geoffrey Hinton." For a data scientist to successfully apply deep learning, they must first understand how to apply the mathematics of modeling, choose the right algorithm to fit your model to the data, and come up with the right technique to implement. In order to get you started, we have come up with a list of deep learning algorithms needed by every data science professional. The cost function used in a neural network is almost similar to the cost function used in any other machine learning model. This helps identify how good your neural network is as compared to the value it predicts (when compared to the actual value).