#gradientdescent

[woodstown]

pt always knows.

[gradientdescentthreads]

One of my buddies asked me this week if I’d be willing to sell one of these pieces (unusual) at a fair price representative of the amount of time and skill it took to make them (unheard of!). My initial reaction was “hell no I made these for ME”; he eventually talked me into a commission, on the theory that if I made it for HIM from the start maybe it would be easier for me to convince myself to part with my work. TBH the only reason I agreed was that he’s up there on the like “top 3 lifetime best bros” list and it’s made me think hard about my motivations for making art in general, and why I have conflicted feelings about taking money for it even when an opportunity just drops in my lap.

For starters there’s the “fair price for labor” issue that most potential buyers are flat-out unwilling to accommodate (that arm took 30 minutes to sketch but 20-30 hours to create out of fabric, pegging a fair price at easily $500). But then there’s the “how much is this worth to gradientdescent specifically” or, phrased a different way, “how much would you have to pay for me to consent to you removing it from my living room without reporting a theft” and that number is… a lot higher. My gf has tried to convince me to apply for some local gallery shows and I’m like “I am 1) unqualified and 2) unwilling to take the chance that someone else might actually decide to buy it and take it away from me”.

Pretty much the only motivator that appeals to me is the chance that letting my art out into the world will give me the chance to meet other people who like the things that I like. But “I’m talking to you because you paid me $500” isn’t a relationship of equals, it’s customer relations management. And truly there are few things I’m LESS interested in doing with my spare time than that. I don’t want to “market” myself or “build a personal brand”, I just wanna hang out with people and swap tips for how to make weird eyeballs look nasty.

[lorem-ipsum-xvi]

Get to know me tag game

Tagged by: @delta-lethonomia (thank you! 🖤)

Last song: Von dutch by Charli XCX & Worlock by Skinny Puppy (also for contrasting vibes)

Favorite color: royal blue

Currently watching: I don’t watch a lot of TV, but I think the last show I watched was UK Drag Race?

Spicy/sweet/savory: savory >>>>

Relationship status: single 😘

Current obsession: i have contracted brain rot in the form of Marazhai from Rogue Trader (and Warhammer 40k by extension), but i always have New Vegas, Morrowind, & BG3 on rotation in my mind. also dark elves in general.

Tagging: @fatherkirbussy @micecubes @gradientdescent-does-it-all

[teguhteja]

RMSProp: Mastering Advanced Optimization in Python

Dive into #RMSProp optimization! Discover how this advanced #GradientDescent algorithm adapts learning rates for each parameter. Learn #Python implementation and boost your #MachineLearning skills. Optimize like a pro! #DeepLearning #AI

RMSProp, a powerful optimization algorithm, revolutionizes gradient descent techniques in machine learning. This advanced method adapts the learning rate for each parameter, accelerating convergence in complex optimization problems. In this post, we’ll dive deep into RMSProp’s inner workings, explore its Python implementation, and demonstrate its effectiveness in multivariable function…

[trituenhantaoio]

#trituenhantaoio #adam #optimization #strategy #gradientdescent #learning #rate #parameter #efficiency #training https://www.instagram.com/p/CALjGBkph4b/?igshid=1g7ufcvp0xoio

[incegna]

Neural Networks using Keras and TensorFlow in Python.Learn Artificial Neural Networks in Python. Bulding deep learning models using Keras & Tensorflow| Python.Interested poeple can share me your details. Check our Info : www.incegna.com Reg Link for Programs : http://www.incegna.com/contact-us Follow us on Facebook : www.facebook.com/INCEGNA/? Follow us on Instagram : https://www.instagram.com/_incegna/ For Queries : enquiry@incegna.com #deepelearning,#artificialneuralnetworks,#keras,#tensirflow,#python,#computervision,#LSTM,#RNN,#ConvNets,#VGG-16,#R-CNN,#YOLOv2,#v3,#scikit,#theano,#gradientdescent https://www.instagram.com/p/B-d8xYSgvnI/?igshid=t5dm62ukoxxd

[n3ongold3n]

🌼👃🌼 thank youuuu

Flowers take probably the second second place right after the cats of pictures on my phone 😂 (which is 10 years old so no quality pics haha)

Please feel tagged everyone, i want to see some flowers :D but just for the sake i'm also tagging @omppupiiras @gradientdescent-does-it-all @safetofirst @drugsforaddicts @bisnes-socks

Flower power Friday

Thank you so much for tagging me @wilmonsfolklore 💜

I love this because I'm like a boomer always taking flower pics although I'm not really that good at it oops

I took this pic today

I'm tagging @alkalinetrios @skibasyndrome @gulliblelemon

[haohanwang]

Let’s start doing a little math. Get ready for my Deep learning study journey!

[gradientdescent-does-it-all]

The result of the reversed-trope prompt y’all voted in a while back: “Really nice guy who hates only you”.

Astarion can’t resist harassing Wyll. Wyll harasses him right back, as only a true gentleman can. Astarion may never recover from this series of crushing losses at the hands of Wyll’s unsurpassed mastery of the polite “fuck you”.

[gradientdescentthreads]

Little hiatus this week from the embroidery: my corporate overlords have generously deigned to grant me a week of free time to do with as I will. Therefore as I am no longer chained at the ankle to the Zoom machine all day, I’m out and about working on other things. If you’re interested, I’ll be over on the main blog @gradientdescent-does-it-all doing leatherworking, gardening, and staring at an empty word processor document waiting for it to spontaneously fill up.

[hyenaswine]

for @gradientdescent-does-it-all, this blocking tutorial seems too good to be true but i'm gonna try it

why is there a wrinkle in the middle of my piece if i used stabilizer 😡

[rehman-coding]

The satisfaction on my face that told the whole story change the topic. so tell me which one batter cold drink but personally I'm not biggest fan of any kind of cold drinks bcz is damage your bone's calciyum I think very One knows the importance of calciyum....#bone #pizza#youtube #food#drink#cool#hub#hut#hardware #coderlife #unversalstudios #gradientdescent #google #functionaljs #girlswhocode #CalendarioGeek #saturdaynight #fkatwigs #images #hoo #hosting #toldyouso

[teguhteja]

Momentum: Accelerating Convergence in Gradient Descent Algorithms

Discover how momentum in gradient descent algorithms can revolutionize your machine learning optimization. Learn to implement this powerful technique for faster convergence and improved model training efficiency. #MachineLearning #GradientDescent

Momentum in gradient descent algorithms is a powerful technique for accelerating convergence in machine learning optimization. By implementing momentum, data scientists can significantly enhance the performance of gradient descent, leading to faster convergence and more efficient model training. This blog post explores the concept of momentum and its practical application in gradient descent…

[whitechnoleg]

insidebigdata.com/2017/09/24/rmsprop-optimization-algorithm-gradient-descent-neural-networks // #rmsprop #gradientdescent #neuralnetworks #datascience #machinelearning

[manankharwar-blog]

Artificial Neural Networks Part-II

My new blog post is finally out! Tell me in the comment section, how do you like it. I would appreciate having a word with you. Cheers! #machinelearning #nanotechnology #neuralnetworks #ai #activationenergy #gradientdescent #neuron #costfunction

In the previous blog, we learned about how the networks learn, how we came upon computers with brains, and why are neural networks critical. We got this as machines learn via training data. For this post, we will determine the heart of neural networks which involves some fascinating and multi-variant functions. We will learn about gradient descent, backpropagation, and a bit about MATH. We will…

[anthrochristianramsey]

Lecture(630-8pm): Gradient-Based Learning vs. Convex Optimization

#mxmnml #gradientbased #neuralnetworks

06/22/17