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Aaditya Prakash (Adi) – Random Musings of a deep learning grad student

Random Musings of a deep learning grad student

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Aaditya Prakash (Adi) – Random Musings of a deep learning grad student | iamaaditya.github.io Reviews

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Random Musings of a deep learning grad student

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Solutions to Hamilton-Jacobi-Bellman under uncertainity – Aaditya Prakash (Adi) – Random musings of a deep learning grad student

http://iamaaditya.github.io/2013/03/solutions-to-hamilton-jacobi-bellman-under-uncertainity

Random musings of a deep learning grad student. Solutions to Hamilton-Jacobi-Bellman under uncertainity. After doing some reading on decision under un-certainity, I get the feeling that this I will be looking more into this. More so because I have the feeling like there is more to this field, lot of unknowns yet(which is still partly due to my lack of profound knowledge in the field). I feel this field is yet to mature. V(x(0), 0) = min u int 0 T C[x(t),u(t)] ,dt D[x(T)] ]. I want to come back to this to...

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Extension of Hidden Markov Models – Formulas in two state HMM – Aaditya Prakash (Adi) – Random musings of a deep learning grad student

http://iamaaditya.github.io/2015/02/extension-of-hidden-markov-models-formulas-in-two-state-hmm

Random musings of a deep learning grad student. Extension of Hidden Markov Models – Formulas in two state HMM. Extending the hidden markov models, where the current state is affected by past two states. This can be useful in simulation of games or in less sophisticated pricing models (more accurate would be an exponential decay of all past terms). I have kept the notations close to as provided in Chapter 6 of Speech and Language Processing , Second Edition by Martin and Jurafsky. Then base cases are.

3

Notes on Discrete Painlevé Equations – Aaditya Prakash (Adi) – Random musings of a deep learning grad student

http://iamaaditya.github.io/2012/11/notes-on-discrete-painleve-equations

Random musings of a deep learning grad student. Notes on Discrete Painlevé Equations. Painlevé equations are used to solve non-linear second order differential equation. For more on Painleve’s work see this. And for short refresher on Painlevé equations, Encylopedia of Mathmematics. This note concerns more on the Discrete derivatives of Painlevé’s Equations. Soliton Systems for e.g are single valued :. We can derive new functions from Non-linear equations :. Is said to be fixed. Dicrete Painlevé was disc...

4

Bootstrap sampling in R – Aaditya Prakash (Adi) – Random musings of a deep learning grad student

http://iamaaditya.github.io/2012/11/bootstrap-sampling-in-r

Random musings of a deep learning grad student. Bootstrap sampling in R. Is a very useful sampling method. While it’s robustness is not that simlar to MCMC or Metropolis-Hastings or Landau. Bootstrapping draws from provided distribution with replacement. This blogpost presents the simple code to achieve Bootstrapping in R, readers not familiar with concepts of Bootstrapping will benefit from this tutorial with examples via MS Excel. Following is the output obtained from the code given below:. Sd1, " and ".

5

One by One [ 1 x 1 ] Convolution - counter-intuitively useful – Aaditya Prakash (Adi) – Random musings of a deep learning grad student

http://iamaaditya.github.io/2016/03/one-by-one-convolution

Random musings of a deep learning grad student. One by One [ 1 x 1 ] Convolution - counter-intuitively useful. Whenever I discuss or show GoogleNet architecture. One question always comes up -. Is it not redundant? Left : Convolution with kernel of size 3x3. Right : Convolution with kernel of size 1x1. What about the efficacy vs efficiency? It is important to note here that this transformation is strictly linear, but in most of application of 1x1 convolution, it is succeeded by a non-linear activation la...

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iamaaditya (aaditya prakash) · GitHub

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Graduate student in computer vision and deep learning. I am interested making computers understand images and words and answer complex questions about the world. X61;aadityaprakash@gmail.com. Http:/ iamaaditya.github.io. Jul 2, 2012. Visual Question Answering Demo on pretrained model. Problems of Project Euler in Python. A Python email client in console. C tutorial for CS 180 (Brandeis University) final project. Modular and Simple approach to VQA in Keras. 287 contributions in the last year. Aug 14 Aug 17.

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Aaditya Prakash (Adi) – Random Musings of a deep learning grad student

Random Musings of a deep learning grad student. Visual Question Answering Demo in Python Notebook. This is an online demo with explanation and tutorial on Visual Question Answering. This is not a naive or hello-world model, this model returns close to state-of-the-art without using any attention models, memory networks (other than LSTM) and fine-tuning, which are essential recipe for current best results. All the files required to run this ipython notebook can be obtained from. Jupyter Notebook on Github.

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