Rochak AgrawalinAnalytics VidhyaOptimization Algorithms for Deep LearningI have explained Optimization algorithms for Deep learning like Batch and Minibatch gradient descent, Momentum, RMS prop, and Adam…Jul 23, 20193Jul 23, 20193
Rochak AgrawalinAnalytics VidhyaOptimization Problem in Deep Neural NetworksIn this post, I have discussed weight normalization, vanishing and exploding gradients, Xavier and He initialization.Jul 8, 2019Jul 8, 2019
Rochak AgrawalinTowards Data ScienceImproving Deep Neural NetworksIn this story, I have explained methodologies that can be used to improve the performance of Deep Neural Networks during their training.Jun 19, 2019Jun 19, 2019
Rochak AgrawalinAnalytics VidhyaDeep Neural NetworksIn this post I have explained the working of Deep Neural Networks in a mathematical context.May 26, 2019May 26, 2019
Rochak AgrawalinTowards Data ScienceShallow Neural NetworksIn this post, I have explained what Shallow Neural Networks are in a mathematical context.May 13, 20193May 13, 20193
Rochak AgrawalinTowards Data SciencePython & VectorizationIn this story, I have discussed Vectorization, its benefits and ways to vectorize a given piece of code in Python using Numpy.May 3, 2019May 3, 2019
Rochak AgrawalinAnalytics VidhyaLogistic Regression as a Neural NetworkIn this story, I have explained the Mathematical foundations of the working of Neural Networks in the context of Logistic Regression.Apr 25, 20191Apr 25, 20191
Rochak AgrawalIntroduction to Deep LearningA brief introduction to neural networks, their applications and reasons behind their popularity in today’s world.Apr 16, 2019Apr 16, 2019