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    Tag: machinelearning

    An Interview with Prof. Karl Friston

    Karl Friston is a theoretical neuroscientist and authority on brain imaging. He invented statistical parametric mapping (SPM), voxel-based morphometry (VBM) and dynamic causal modelling (DCM).…

    mehranmldawn-com
    mehran@mldawn.com January 3, 2022
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    A Gentle 101 Talk on Artificial Neural Networks

    What is this post about? In this super gentle 101 talk given at the Insight Centre for Data Analytics at University College Dublin , I…

    mehranmldawn-com
    mehran@mldawn.com August 13, 2021
    0 Comments
    sigmoid and its derivative

    The Backpropagation Algorithm-PART(1): MLP and Sigmoid

    What is this post about? The training process of deep Artificial Neural Networks (ANNs) is based on the backpropagation algorithm. Starting with this post, and…

    mehranmldawn-com
    mehran@mldawn.com June 25, 2021
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    Dissecting Relu: A desceptively simple activation function

    What is this post about? This is what you will be able to generate and understand by the end of this post. This is the…

    mehranmldawn-com
    mehran@mldawn.com June 1, 2021
    2 Comments

    An interview with Prof. Mikhail Belkin

    We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin, we will discuss his amazing paper: “Reconciling modern machine learning…

    mehranmldawn-com
    mehran@mldawn.com May 29, 2021
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    Reconciling modern machine learning practice and the bias-variance trade-off

    What is This post about? The interview with the lead author of the paper: Prof. Mikhail Belkin Together we will analyze an amazing paper entitled:…

    mehranmldawn-com
    mehran@mldawn.com April 12, 2021
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    An interview with Prof. Tom Mitchell

    “There are a lot more papers written than there are widely read!”  (Tom Mitchell) Prof. Tom Mitchell is one of the giants of machine learning…

    mehranmldawn-com
    mehran@mldawn.com March 14, 2021
    0 Comments

    Stochastic Approximation to Gradient Descent

    What will you learn? The video below, delivers the main points of this blog post on Stochastic Gradient Descent (SGD): (GitHub code available in here) …

    mehranmldawn-com
    mehran@mldawn.com August 18, 2020
    0 Comments

    Back-propagation with Cross-Entropy and Softmax

    What will you learn? This post is also available to you in this video, should you be interested 😉 https://www.youtube.com/watch?v=znqbtL0fRA0&feature=youtu.be In our previous post, we…

    mehranmldawn-com
    mehran@mldawn.com May 20, 2020
    20 Comments

    Deriving the Gradient Descent Rule (PART-2)

    What Will You Learn? In our previous post, we have talked about the meaning of gradient descent and how it can help us update the…

    mehranmldawn-com
    mehran@mldawn.com March 6, 2020
    0 Comments
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    • An Interview with Prof. Karl Friston
    • Build a Brain Tumor Detector in Pytorch- (Part 1)
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    • A Gentle 101 Talk on Artificial Neural Networks
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