Most data scientists soon realize that deep learning models can be unwieldy and often impractical to run on smaller devices…

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## Layman’s Introduction to Backpropagation

Layman’s Introduction to BackpropagationTraining a neural network is no easy feat but it can be simple to understand itRishi SidhuBlockedUnblockFollowFollowingJun…

Continue Reading## Deep Compression

Deep CompressionConnor ShortenBlockedUnblockFollowFollowingJun 10In their current form, Deep Neural Networks require enormous memory to fund their massive over-parameterization. Classic Neural…

Continue Reading## Is a drug stored or excreted? Writing and training a simple perceptron to find out

Writing and training a simple perceptron to find outAn brief practical introduction to the simple perceptron learning algorithm and using it…

Continue Reading## Attention in RNNs

Attention in RNNsUnderstanding the mechanism with a detailed exampleNir ArbelBlockedUnblockFollowFollowingMar 15Montepulciano ItalyRecurrent Neural Networks (RNNs) have been used successfully for many tasks…

Continue Reading## Guide to Coding a Custom Convolutional Neural Network in TensorFlow Core

Guide to Coding a Custom Convolutional Neural Network in TensorFlow CoreTutorial for Developing in the Low-Level APIAndrew KrugerBlockedUnblockFollowFollowingMar 12The following…

Continue Reading## Backpropagation Step by Step

Backpropagation Step by StepJoinal AhmedBlockedUnblockFollowFollowingFeb 27If you are building your own neural network, you will definitely need to understand how to…

Continue Reading## Why feature weights in a machine learning model are meaningless

Why feature weights in a machine learning model are meaninglessDon’t make decisions based on the weights of an ML modelLak LakshmananBlockedUnblockFollowFollowingAug…

Continue Reading## Simple Deep Learning (Ft my dog)

Simple Deep Learning (Ft my dog)Isabella GrandicBlockedUnblockFollowFollowingFeb 17If AI was an ice cream sundae, deep Learning would be the sprinkles and…

Continue Reading## Backpropagation for people who are afraid of math

We will go over each expression. When trying to update and optimize the network’s weights, we are trying to find-,…

Continue Reading## How to Create an Equally, Linearly, and Exponentially Weighted Average of Neural Network Model Weights in Keras

The training process of neural networks is a challenging optimization process that can often fail to converge. This can mean…

Continue Reading## Atari – Solving Games with AI???? (Part 2: Neuroevolution)

If you missed Part 1, or…towardsdatascience.comSimilarly to the above example of the evolutionary algorithm used in the game of Snake,…

Continue Reading## Deconstructing BERT: Distilling 6 Patterns from 100 Million Parameters

Right: attention weights for selected token (“i”)On the left, we can see that the [SEP] token disrupts the next-token attention pattern,…

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