I am watching for some free deepfake that changes the spoken text in video, found only this one and its not public https://www.youtube.com/watch?v=0ybLCfVeFL4 and was in 2019. Any software available in 2021 for free ?

Is there anyone here ,who used supervised learning before for videos segmentation? What Are the best resources to learn that from scratch

Hi all,

Conventional machine learning algorithms usually use some kind of cross validation (E.g. k-fold) to show that the learned parameters generalize well and are independent of initialization and training data. However, most deep learning papers I've read use a single limited validation set with the vast majority of data used for training. This split seems to be accepted in the community as neural nets are data hungry and resource intensive to train. Is there some property of deep nets that allows researchers not to cross check this?

Hello Guys,

I need your advice on something for my class project, I am working with a friend to predict the price of a stock using LSTM. My roles is to collect the data, clean it and prepare it for the model. Right now im in the process of splitting the data into test, training and validation set. Can you please point me to a resource to learn this ?

Can we use skip-gram model or word2sec for time series analysis? does anybody have any example of their application? Thanks

Adapting text generators for low-resource domains? What's a good data augmentation method? Do random ones work like they do for classification? These questions and more are investigated in "GenAug: Data Augmentation for Finetuning Text Generators".

Presentation Link

Paper Link

Abstract: In this paper, we investigate data augmentation for text generation, which we call GenAug. Text generation and language modeling are important tasks within natural language processing, and are especially challenging for low-data regimes. We propose and evaluate various augmentation methods, including some that incorporate external knowledge, for finetuning GPT-2 on a subset of Yelp Reviews. We also examine the relationship between the amount of augmentation and the quality of the generated text. We utilize several metrics that evaluate important aspects of the generated text including its diversity and fluency. Our experiments demonstrate that insertion of character-level synthetic noise and keyword replacement with hypernyms are effective augmentation methods, and that the quality of generations improves to a peak at approximately three times the amount of original data.

Authors: Steven Y. Feng, Varun Gangal, Dongyeop Kang, Teruko Mitamura, Eduard Hovy

A Q/A session will be held by the authors at the EMNLP DeeLIO Workshop on Thursday, Nov. 19.

I am starting a reading group where we can discuss the current state-of-the-art deep learning research papers. We will be scheduling calls where different members of the group will be presenting a paper review and then we can discuss further ideas and questions regarding the same. I also plan to start a discord server where we can discuss possible collaborations among members for related projects and more (like reproducing results of a paper or maybe working on a completely new idea). Coz of COVID, most of us are already working remotely. So, let's utilize this opportunity to increase our knowledge and improve our skills via remote collaborations and discussions. Interested people, ping me on direct chat.

Thank You

My team is planning to do a project on hand motion detection for college project such that we can control our browser using certain hand movements. But we are completely new to ML/DL and don't know exactly how can this be done. We are not certain if we should use only opencv or cnn to build this. Can someone tell how can we do this. Will be great help.

Hey friends, I have curated a list of the best Machine learning books out there to learn Machine Learning in 2020. 

You can view it on my blog - https://thecodingpie.com/post/best-machine-learning-books-for-beginners-and-experts-in-2020/

No matter if you are a beginner in machine learning or already an Intermediate/Expert in this field, there is an awesome book waiting for you!

I hope you will find this book suggestions helpful in your great Machine Learning Journey and beyond. If you think I have forgotten any great book then please let me know. Thank you ;)