Seeker

40 ka hogaya wth lol.

[arXiv Daily @Arxiv_Daily]

ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums
https://t.co/8lTj4u8Gd8
by Scott H. Hawley et al.
#GenerativeAdversarialNetwork #ConvolutionalNeuralNetwork

[DeepAI @DeepAI]

From the Machine Learning & Data Science glossary: Keras https://t.co/24jmYUER5n #OpenSource #Keras

[Seeker @adikalseh]

@AndrewYNg We need more on research in medicine and vaccines

[Seeker @adikalseh]

Today's Read -

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

https://t.co/f5jxjBpipL

#MachineLearning

[Seeker @adikalseh]

Today's Read-

Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey

https://t.co/jdsDAMjOHK

#MachineLearning

[Seeker @adikalseh]

Today's Read -

PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator

https://t.co/wE5Ko2yCPs

[Pranay Pathole @PPathole]

Tesla summon and Autopilot is really helpful for those in need. This is the future. @elonmusk @Tesla

[Seeker @adikalseh]

Today's Read -

Yet Another Representation of Binary Decision Trees: A Mathematical Demonstration

https://t.co/WVU95kAnwi

#MachineLearning

[Seeker @adikalseh]

Today's Read -

Responsible AI Challenges in End-to-end Machine Learning

https://t.co/TIf2IiZQaZ

#MachineLearning

[/MachineLearning @slashML]

Introducing Shapash, a new Python library : makes Machine Learning models transparent and understandable by everyone https://t.co/oCJrRansn6

[Seeker @adikalseh]

Today's Read -

Parkinson's Disease Diagnosis Using Deep Learning

https://t.co/80LltTYeQu

#MachineLearning

[Seeker @adikalseh]

Today's Read -

Topological Deep Learning

https://t.co/tDQDhTOISL

#MachineLearning

[Signal @signalapp]

How it started vs how it's going 😅

[Seeker @adikalseh]

Today's Read -

Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning

https://t.co/dg9gHk1QkB

#MachineLearning

[Seeker @adikalseh]

Check out my code scrim Note at 0:00 - https://t.co/yeC2FltqV0

I just completed @RybaLeanne's Weekly Web Dev Challenge on @scrimba and built a currency converter app. Check it out here:

#WeeklyWebDevChallenge.

[Seeker @adikalseh]

Today's Read-

Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators

https://t.co/yGEmaDVSQp

#MachineLearning

[Scrimba @scrimba]

🔥 FROM BUS DRIVER TO FRONTEND DEVELOPER 🔥

Nico was unsatisfied with his job, so he spent 2020 learning to code. This month, he reached his goal and was hired as a frontend developer ✅

Retweet if you think more people should do like Nico in 2021 🚀

#100DaysOfCode

[Seeker @adikalseh]

Today's Read

Anomaly Detection for Aggregated Data Using Multi-Graph Autoencoder

https://t.co/6GxsONfkq9

#MachineLearning

[Seeker @adikalseh]

Today's Read -

Towards a Robust and Trustworthy Machine Learning System Development

https://t.co/1DFWMx3Oz0

#MachineLearning

[Seeker @adikalseh]

Today's Read -

Few-Shot Learning with Class Imbalance

https://t.co/aJe7pM75OE

#MachineLearning