Policy Learning — Deep Reinforcement Learning
Author(s): Sarvesh Khetan Originally published on Towards AI. A. Problem Statement We have already seen the problem statement here and saw how to solve it using Q learning approach but since Q learning has its own drawbacks, researchers innovated this approach called …
Q Learning — Deep Reinforcement Learning
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents Problem Statement Value Functions Q Learning3.a. Theory3.b. Code3.c. Problems with Q Learning V Learning Resources Problem Statement Let’s say our model is trying to play ping pong and is currently in …
LSTM for Sequence Classification
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents : Single Layer Architecture1. LSTM Architecture2. Learning in LSTM3. How LSTM solves issues in RNN4. Issues with LSTM5. Pytorch Code Stacked Layer Architecture1. Architecture Diagram2. Pytorch Code Single Layer Architecture LSTM …
Deep Learning for Time Series Forecasting
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents : 1. Feed Forward Neural Network 2. 1D Convolution Neural Network 3. Hidden Markov Models (HMM) 4. Conditional Random Fields (CRF) 5. Recursive Neural Network (RvNN) 6.1. [1990s] Recurrent Neural Network …
Transformers for Videos
Author(s): Sarvesh Khetan Originally published on Towards AI. Note : this is in continuation of this blog wherein I have discussed different models to perform video classification task. Video is nothing but a sequence of images and hence to make use of …
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