Medijski sadržaj
- Tweetovi
- Tweetovi i odgovori
- Medijski sadržaj, trenutna stranica.
-
-
By combining two
#GoogleCodeIn tasks, I made a TensorBoard experiment on the performance of#keras transfer learning models on@jeremyphoward's Imagewoof. >@GoogleColab: https://colab.research.google.com/drive/1K9K9rLnqnTGokVpC9_0PBphxsm0HibaC … >@TensorBoard: https://tensorboard.dev/experiment/EtKoZFQGTNSou8NjFajkZw/ …pic.twitter.com/1jurdXLAw2
Prikaži ovu nit -
-
@jeremyphoward, it would be nice to mention in your tutorials on github pages that@ProjectJupyter Notebooks can be exported directly to Markdown, and uploaded to GitHub. It even works with math syntax! Project
Blog Post. Nothing else needed.pic.twitter.com/6KCw9tNyDd
-
-
In Dutch "to invent" is "uitvinden", which literally means "find out." "Find out" in English means "to discover." I just realized how closely this relates to how
@3blue1brown answered "Is Math Discovered or Invented?" on@lexfridman's podcast. https://www.youtube.com/watch?v=-RXyzNWOf_Y …Prikaži ovu nit -
Here is my very first
@Colab tutorial - autoencoders in@TensorFlow (96.2% compression!) - convolutional autoencoders - denoising autoencoders (see results below!) Colab: https://colab.research.google.com/github/rickwierenga/notebooks/blob/master/autoencoders.ipynb … GitHub: https://github.com/rickwierenga/notebooks/blob/master/autoencoders.ipynb … (leave a
:D)pic.twitter.com/Y67iFS0Pnv
Prikaži ovu nit -
Lex Fridman (
@lexfridman): Recipe for Progress in AI (Hard Work)https://www.youtube.com/watch?v=ao3UoceiL2w … -
-
Has anyone tried doing this [1] in reverse? "Tell to Show: Neural Networks with Imagination" [1] https://arxiv.org/pdf/1609.06647.pdf …pic.twitter.com/08BvhU5BAa
-
-
Prikaži ovu nit
-
I don't think this is a fair comparison. The "cat" is already classified by our brains at the time we recognize this image as "cat." Before that it was also just a set activations on our retina, which could be abstracted as a tensor.pic.twitter.com/YoXNj6TiRp
Prikaži ovu nit -
New post for machine learning beginners!
polynomial regression (math/Python)
over/underfitting
feature selection
https://rickwierenga.com/blog/machine%20learning/polynomial-regression.html …
#100DaysOfMLCodepic.twitter.com/CS1rdes7jj
-
Link for all the lazy people: https://www.youtube.com/watch?v=u8qPvzk0AfY … definite must watch
-
New blog post: *An introduction to GANs in
#S4TF* * What is a Generative Adversarial Network? * What is a Deep Convolutional Generative Adversarial Network? * How do I build a DCGAN in#SwiftLang? https://rickwierenga.com/blog/s4tf/s4tf-gan.html …#MachineLearning#100DaysOfMLCodepic.twitter.com/Hn0dEGMUL7
Prikaži ovu nit -
-
Check out my new blog post on the different optimizers used in
#MachineLearning. Post: https://heartbeat.fritz.ai/an-empirical-comparison-of-optimizers-for-machine-learning-models-b86f29957050 … Code: https://github.com/rickwierenga/BenchmarkingMLOptimizers … (
)
#100DaysOfMLCode https://twitter.com/fritzlabs/status/1202265283169325058 …pic.twitter.com/HHv7wh1ayx
Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.