Useful post to generate images by means a Generative Adversarial Networks (#GANs).

This is an unsupervised learning problem combining game theory and #ReinforcementLearning.

You will learn in the post from basics of GANs to implementation of the model in #TensorFlow.

Post: https://lnkd.in/dcRJp-8

Github: https://lnkd.in/d2yu-t9

If You Like Our Channel,invite your friends and share it

✴️ @AI_Python_EN

Francesco Cardinale

I'm happy to announce that we just open-sourced a major update for our image super-resolution project: using an adversarial network and convolutional feature maps for the loss, we got some interesting results in terms realism and noise cancellation.
Pre-trained weights and GANs training code are available on GitHub!
If you want to read up about the process, check out the blog post.
Also, we released a pip package, 'ISR' (admittedly not the most creative name:D), with a nice documentation and colab notebooks to play around and experiment yourself on FREE GPU(#mindblown). Thanks to Dat Tran for the big help.

💻Blog: https://lnkd.in/dUnvXQZ
📝Documentation: https://lnkd.in/dAuu2Dk
🔤Github: https://lnkd.in/dmtV2ht
📕Colab (prediction): https://lnkd.in/dThVb_p
📘Colab (training): https://lnkd.in/diPTgWj

https://lnkd.in/dVBaKv4

#opensource #deeplearning #gans #machinelearning #keras

✴️ @AI_Python_EN

Deepfakes were a crazy creation of the #GANs so here is an answer about their detection.

Recurrent-Convolution Approach to DeepFake Detection - State-Of-Art Results on FaceForensics++

Spread of misinformation has become a significant problem, raising the importance of relevant detection methods.

While there are different manifestations of misinformation, in this work we focus on detecting face manipulations in videos.

Here the authors attempt to detect Deepfake, Face2Face and FaceSwap manipulations in videos.

Paper: arxiv.org/abs/1905.00582
Code: Adding soon

#deeplearning
#facerecognition
✴️ @AI_Python_EN

Another great paper from Samsung AI lab! Egor Zakharovdl et al (Few-Shot Adversarial Learning of Realistic Neural Talking Head Models). animate heads using only few shots of target person (or even 1 shot). Keypoints, adaptive instance norms and #GANs, no 3D face modelling at all.

📝 https://arxiv.org/abs/1905.08233

✴️ @AI_Python_EN

Why Should you Learn AI and Machine Learning

Why Machine Learning Fascinates Me?

Supervised Machine Learning

Do you know what is Machine Learning All About?

The Science of Machine Learning is about Learning the Models that Generalize Well Machine learning is an area of artificial intelligence and computer science This includes the development of software and algorithms that can make predictions based on data.

Data Science Enthusiasts, I have Created a Community for Us to Learn Together🗝

Interested people let me know in the Comments and I will send you the invite link to our Community🎟🗣

#reinforcementlearning #machinlearning #Datascience #ArtificialIntelligence #gans
#SupervisedMachineLearning #ML #dl #iot #bigdata

✴️ @AI_Python_EN

Remember that Mona Lisa animation? Now a new deep learning system can make an onscreen speaker say anything you type. Read the paper by Stanford, Princeton, and Adobe researchers:
http://bit.ly/2WIsftb
#DeepLearning #GANs #MachineLearning #ArtificialIntelligence

related post :
https://t.me/ai_python_en/1413
and
https://t.me/ai_python_en/1274
✴️ @AI_Python_EN