Implementing CNNs using PyTorch We will use a very simple CNN architecture with just 2 convolutional layers to extract…

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## Human-AI Collaboration and Autonomous Vehicle Research

It’s wonderful to see when members of the big data ecosystem team up large industry players for some late-breaking research…

Continue Reading## Deep Learning & Artificial Neural Networks

Last Updated on September 3, 2019 Deep Learning is a subfield of machine learning concerned with algorithms inspired by the…

Continue Reading## Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2019

Sparse Networks from Scratch: Faster Training without Losing Performance This paper demonstrates the possibility of what is called sparse learning:…

Continue Reading## Matthew Stewart, PhD Researcher

Guide to R and Python in a Single Jupyter NotebookAdvanced Topics in Neural NetworksAn introduction to some advanced neural network topics such as…The…

Continue Reading## How to implement the right AI technique for your digital transformation projects?

How to implement the right AI technique for your digital transformation projects?Deep Learning VS Reinforcement Learning VS Bayesian NetworksFelipe SanchezBlockedUnblockFollowFollowingJul 81…

Continue Reading## Simple Guide to Hyperparameter Tuning in Neural Networks

This is a good question, and the answer to that is using callbacks. Callbacks: taking a peek into our model…

Continue Reading## How to implement the right AI technique for your digital transformation projects? PART 1

PART 1Felipe SanchezBlockedUnblockFollowFollowingJul 81 IntroductionProject Management (PM) produces data that are generated, captured and stored during the project planning, execution and…

Continue Reading## Gaining insights on transfer learning with FlashTorch

If you’ve done the maths already… I would be better of randomly guessing it myself. Intuitively, this perhaps makes sense.…

Continue Reading## Deep Learning for NLP: ANNs, RNNs and LSTMs explained!

Well, these weights are also included in any edge that joins two different neurons. This means that in the image…

Continue Reading## Fashion product image classification using Neural Networks | Machine Learning from Scratch (Part VI)

The prediction is correct!Classifying ImagesBuilding a Neural NetworkOur Neural Network will have only 1 hidden layer. We will implement a somewhat…

Continue Reading## Neural Network Optimization

Neural Network OptimizationCovering optimizers, momentum, adaptive learning rates, batch normalization, and more. Matthew Stewart, PhD ResearcherBlockedUnblockFollowFollowingJun 27“The goal is to hit…

Continue Reading## Neural Networks with push button, AI for all

Neural Networks with push button, AI for allNeural Architecture Search with NASBench from Google Research— Can we design network architectures automatically,…

Continue Reading## Do Conv-nets Dream of Psychedelic Sheep?

By Kevin Vu, Exxact Corp. Deep dreaming at successive layers of abstraction. From top to bottom: input image, conv2-3x3_reduce, inception_4c-1×1.…

Continue Reading## LSTM: How To Train Neural Networks to Write like Lovecraft

I’ll explain it now, though I highly recommend you give those tutorials a chance too. How do LSTM cells work?An LSTM…

Continue Reading## Comprehensive Introduction to Neural Network Architecture

Comprehensive Introduction to Neural Network ArchitectureA detailed overview of neural architecture, activation functions, loss functions, output units. Matthew Stewart, PhD ResearcherBlockedUnblockFollowFollowingJun…

Continue Reading## Improving Deep Neural Networks

Improving Deep Neural NetworksRochak AgrawalBlockedUnblockFollowFollowingJun 19Deep Neural Networks are the solution to complex tasks like Natural Language Processing, Computer Vision, Speech…

Continue Reading## Neural network can explain the physics of an earthquake rupture

Neural network can explain the physics of an earthquake ruptureMachine Learning Approach to Earthquake Rupture DynamicsSabber AhamedBlockedUnblockFollowFollowingJun 19Damage due to earthquakes…

Continue Reading## Classification Using Neural Networks

After reading this article you should have a rough understanding of the internal mechanics of neural nets, and convolution neural…

Continue Reading## 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## Convolutional Neural Networks: Python Tutorial (TensorFlow Eager API)

Convolutional Neural Networks: Python Tutorial (TensorFlow Eager API)Luciano StrikaBlockedUnblockFollowFollowingJun 12Keep an eye out for Deep Learning. Source: Pixabay. Convolutional Neural Networks are…

Continue Reading## The Basics of Neural Networks with Tensorflow

The Basics of Neural Networks with TensorflowChristopher KazakisBlockedUnblockFollowFollowingJun 5Today, we’re going to learn the basic ideas behind how a neural…

Continue Reading## Regularization for Neural Networks with Framingham Case Study

Regularization for Neural Networks with Framingham Case StudyL1, L2, elastic net, and group lasso regularizationRachel Lea Ballantyne DraelosBlockedUnblockFollowFollowingJun 8In this post,…

Continue Reading## Evolution of Graph Neural Networks for Recommender Systems

Evolution of Graph Neural Networks for Recommender SystemsIntroduction to the three progressions of Graph Neural Networks in the context of…

Continue Reading## Advanced Topics in Deep Convolutional Neural Networks

Take the saliency map for each channel and either take the max, average, or use all 3 channels. Two good…

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