PinnedShruti JadonIntroduction to Different Activation Functions for Deep LearningThe Idea of Neural Networks was first introduced way back in the 1950s, but it wasn’t until 2012 that they come to action. Even…Mar 16, 2018Mar 16, 2018
Shruti JadonTop 17 frequently asked Machine Learning Interview Questions with Answers by Amazon, Microsoft, and…Preparing for roles like Data Scientist, ML Engineer, Research Engineer, and Research Scientist is a rigorous process. One must prepare for…May 9, 2022May 9, 2022
Shruti JadonHow to Initialize Weights in Neural Networks?Weight Initialization is an important step in Neural Networks, It can make Network to converge faster, and make better predictions. There…Nov 13, 2019Nov 13, 2019
Shruti JadonTutorial: Transfer Learning Using KerasTransfer learning refers to the technique of using knowledge of one domain to another domain. i.e. a Neural Network model trained on one…Mar 29, 2018Mar 29, 2018
Shruti JadonVideo Summarization using Keyframe Extraction and Video SkimmingMany Algorithms exist in the market which claim to summarize videos. This blog will go through some of the standard methods used and…Feb 9, 20182Feb 9, 20182
Shruti JadonHow to write application for Grace Hopper Scholarship.I was chosen as one of Anita Borg Institute Grace Hopper Scholar for 2017 conference. It was a good feeling, but it required some effort to…Feb 4, 2018Feb 4, 2018
Shruti JadonWhy we don’t use Bias in Regularization?Bias comes in to picture when we want our decision boundaries to be separated properly. just consider an example ofFeb 2, 2018Feb 2, 2018
Shruti JadonGradient Descent and Some Doubts!!!While Studying Gradient Descent for Neural Networks, we always study about Regularization, and then a lot of question arises. Why did we…Jan 12, 2018Jan 12, 2018
Shruti JadonHow to do One Shot Learning using Siamese Networks?Humans learn new things with a very small set of examples — e.g. a child can generalize the concept of a “Dog” from a single picture but a…Jan 12, 2018Jan 12, 2018