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Connor Shorten 29. sij
This video explains 's amazing new Meena chatbot! An Evolved Transformer with 2.6B parameters on 341 GB / 40B words of conversation data to achieves remarkable chatbot performance! "Horses go to Hayvard!"
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Rubenia Borge #GHC19 3 h
Day 15. I'm studying machine learning concepts and algorithms. Later, I will work on their Python implementations. One day at at time. It's a lot! I have a long way to go but I'm happy with all I'm learning! 😊💯❤️
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Connor Shorten 6 h
AI Weekly update for February 3rd, 2020! This update covers Google AI's Meena Chatbot, Microsoft's ImageBERT, blog posts on Curriculum Learning in RL and Contrastive Self-Supervised Learning, and more!
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GangadharBhuvan 28 min
Day - 19: Completed numpy module 😅 in Python for Data Science course and starring Pandas as next module
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Antonio Lopardo 4 h
Day 44 Today I continued with the Private AI Udacity course, I'm planning on finishing it by tomorrow.
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sheffiu 🐾 5 h
Odgovor korisniku/ci @ajulo__
Day 17: Read about the Decision Tree Algorithm. Turned out to be a simple and highly interpretable model.
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Fares Lassoued 7 h
Day 72: Finally, I got my certificate! Next step: rewrite course projects in python and publish it in GitHub+start reading Hands-on ML book by Aurélien géron
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Fahim Moledina 10 h
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Hithesh KK 11 h
Since many features roughly follow normal distribution, I tried using the pdf to predict which of the four severity does the accident most likely belong. But results were terrible even on the training set(42% accuracy).
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Rubenia Borge #GHC19 11 h
Day 14. I started this course, Data Structures and Algorithms: I find it pretty useful and I'm glad I'm taking it!
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Radhika Lovely.Life 12 h
Odgovor korisniku/ci @LovelyL20462797
Plzz give me some guidance how can I move forward in career 🙏🙏..I know basics of coding have worked for 6 months,but have only 3 months of proof
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Arash Chitgar 13 h
R3 Days 15 to 70 of Finished: - "Neural Network and Deep Learning" - "Applied Machine Learning In Python" courses at
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Aaron Smothers 17 h
23/100 Not really a full day of "butt in seat" time, but I got some good problem solving in. Coding consisted of going back into some math and generalizing the hard numbers I used to originally get that part of the algorithm done.
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Povezana pretraživanja

matplotlib · #python · #coding
EMRAH 22 h
Round 2 Day 42 of I am still going back and forth between perception and gradient descent. Looking for that 'click' moment to move on! Submitted the first ML algorithm and got the new one right after it :D
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Aswin Gopinathan 3. velj
Day 39 : Working on my DeepLearning nanodegree from Udacity. Learned the black box theory of Gradient Deacent and used it to implement a neural network to predict bike sales.
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Soniya Seervi 2. velj
Day 7: 1) Studied the problem of overfitting and it's solution by regularization. 2) Exploring Neural networks and started third week's assignment. 3) Parallelly enjoying image processing with openCV.
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Ajay Narvekar 2. velj
RT : RT : Day 26 of Took a deeper dive into Neural Networks, Gradient descent, Back…
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EMRAH 2. velj
Round 2 Day 41 of It was all about the GRADIENT DESCENT which is a famous optimization algorithm. I derived the formulas from scratch which helped me to see the importance of derivatives one more time.
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shena dean 2. velj
Looking to meet people who are doing image analysis and computer vision
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, 1. velj
Day1: Starting sentdex series and picking up the first 3 videos .. Learned about loading the dataset,adding new coloumns and defining the features and the labels.
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