PinnedAyush SinghinTowards AIReinforcement Learning: Monte-Carlo LearningModel-free learning.Apr 29, 20223Apr 29, 20223
Ayush SinghinTowards Data ScienceReinforcement Learning : Solving MDPs using Dynamic Programming (Part 3)Previous two stories were about understanding Markov-Decision Process(MDP) (Part 1) and Defining Bellman Equation for Optimal policy and…Jan 26, 2020Jan 26, 2020
Ayush SinghinTowards Data ScienceReinforcement Learning : Markov-Decision Process (Part 2)This story is in continuation with the previous, Reinforcement Learning : Markov-Decision Process (Part 1) story, where we talked about…Aug 30, 20195Aug 30, 20195
Ayush SinghinTowards Data ScienceHow Do Neural Style Transfers Work?Deep Learning made it possible to capture the content of one image and combine it with the style of another image. This technique is…Jul 19, 20191Jul 19, 20191
Ayush SinghinTowards Data ScienceIntroduction to Reinforcement Learning : Markov-Decision ProcessIn a typical Reinforcement Learning (RL) problem, there is a learner and a decision maker called agent and the surrounding with which it…Jul 18, 201915Jul 18, 201915
Ayush SinghinHackerNoon.comObject Detection :TheoryEver wanted to detect objects in an image or a video…probably yes! That’s why you are here!This story is divided into two parts. This part…Mar 2, 20194Mar 2, 20194
Ayush SinghInsight of Backpropagation AlgorithmNew to Artificial Neural Networks? If yes,then you might be wondering why ANNs are so powerful? What that’s one thing that make them…Jan 19, 2019Jan 19, 2019