I trained a neural network to improve cooking recipes by adding new and fitting ingredients. It’s trained on the simplified-recipes-1M dataset which differentiates between 3500 different ingredients.

See the results here

Download the dataset, more information and original sources and credits

Hi,

I am trying to implement Mask RCNN in android. I have already trained my model using matterport’s version “https://github.com/matterport/Mask_RCNN‘. I have also used https://github.com/gustavz/Mobile_Mask_RCNN, as it supports Mobilenetv1 and v2.

I have converted my files to .pb and .tflite as well. I have tested the .pb file using python and C++ code and it is working fine.

I know we can use c++ in android. But I am not able to find some good documentation or how to implement it there.

If you guys know any other way to implement, please let me know.

Thanks

Hey guys,

I made a blog post a while back on Generating Words From Embeddings. It’s a simple project which aims to create new meaningful words by generating them character by character, conditioned on a word embedding.

Now, I finally got around to making a simple colab notebook which makes it very easy to play around with the model and sample new words in a matter of minutes. I’d love to see what weird and interesting words you encounter when messing around with it!

Also, I made this quite a while back, so I only experimented with a simple decoder RNN (GRU/LSTM). Given the leaps and bounds by which NLP research has grown since then, it might be worth trying out more models (perhaps transformers) and seeing if they can generate qualitatively more pleasing words.

GitHub repo

Hey guys,

I’m currently looking for implementations that do Voice Conversion – Transferring the style of one speaker to another. I came across Auto-VC, which seems to be the SOTA, but unfortunately doesn’t have any training code.

Would be great if you could post any links you know.

Cheers!

Hi I just started taking Andrew Ng’s ML course on coursera (paid to get the certificate). I know that in practice, most ML projects are done in Python these days. So I want to go through the course with Python. But all the programming assignments in the course are evaluated in MATLAB or Octave. Does that mean I will have to simultaneously do the exercises in Python and submit in MATLAB/Octave? Or is there a way to submit assignments in Python?

I will try to implement Tabnet this coming week on 10M+ curated dataset and report results.

I have not implemented any of Google’s models so, any advice very welcome. If anyone has tested Tabnet already feel free to get in touch.

Schmidhuber’s new blog post about deep learning papers from 1990-1991.

The Deep Learning (DL) Neural Networks (NNs) of our team have revolutionised Pattern Recognition and Machine Learning, and are now heavily used in academia and industry. In 2020, we will celebrate that many of the basic ideas behind this revolution were published three decades ago within fewer than 12 months in our “Annus Mirabilis” or “Miraculous Year” 1990-1991 at TU Munich. Back then, few people were interested, but a quarter century later, NNs based on these ideas were on over 3 billion devices such as smartphones, and used many billions of times per day, consuming a significant fraction of the world’s compute.

The following summary of what happened in 1990-91 not only contains some high-level context for laymen, but also references for experts who know enough about the field to evaluate the original sources. I also mention selected later work which further developed the ideas of 1990-91 (at TU Munich, the Swiss AI Lab IDSIA, and other places), as well as related work by others.

http://people.idsia.ch/~juergen/deep-learning-miraculous-year-1990-1991.html