Emojify model function - cost equation incorrect


I found an anomaly in the cost function defined for the model function in Emojify - V1 assignment.
There is no average taken over m examples. This causes cost to increase over iterations (cost should reduce ideally over more training).

Also Emojify-V1 is doing the Word2Vec implementation. The initial introduction to the assignment mentioned using Glove Algorithm and learning its disadvantages. The Glove Algorithm uses different cost function and implementation than the one used in this assignment.

Can this be clarified?

Since m is a constant, it does not change the conditions for the minimum cost, only the magnitude.