I tried transfer learning on the pre-trained network. Custom dataset which was acquired from instagram by the custom scraper based on selenium library was used and the searching tag was 'flower'. The network was pre-trained with FFHQ dataset that consists of human face dataset. The way training network that is already trained with other dataset is called 'transfer learning'. In the middle of training, the network can give interesting and bizarre images which seem like mixture of flowers and human faces.
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Generating large images like 1024*1024 is very hard task even using a neural network. That's because there're too many possibilities. If considering only a 1ch, 1024*1024, 8bit image, there can be 256^1,048,576 possibilities. What a large number! Most of the space will be filled with completely unrecognizable, noisy images and only very tiny and sparse portion of the space will be filled with natural images. What the network does is mapping input Gaussian noises to another space where natural images are. This space is called 'latent space'. In this space, there might be natural face images too. Since facial images belong to natural images, if learned well on facial images, modifying weights of the network to make flower images is much easier than just making flower images from the bottom.

GitHub link:-
https://github.com/okdalto/InteractiveGAN

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YouTube: https://www.youtube.com/c/asifimmanad

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I tried transfer learning on the pre-trained network. Custom dataset which was acquired from instagram by the custom scraper based on selenium library was used and the searching tag was 'flower'. The network was pre-trained with FFHQ dataset that consists of human face dataset. The way training network that is already trained with other dataset is called 'transfer learning'. In the middle of training, the network can give interesting and bizarre images which seem like mixture of flowers and human faces.
⠀
GitHub link:-
https://github.com/okdalto/InteractiveGAN

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://t.me/Artificial_intelligence_AI

📜Source paper: http://chengao.vision/FGVC/

Remove This! ✂️ AI-Based Video Completion is Amazing!

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Job opportunity only experienced and serious people contact:

Company name : Alten
Exp: 3 to 5 years
Skill sets: C++, Devops, Gitlab, Python
Should have development experience in C++
Job location: Pune
Can get in touch on 9370904584

Need Technical content creator.
Should be good with video creation/editing.
Skills:- Python, DevOps, Git, Docker, Kubernetes, Kafka, Fission.
Basic understanding of these technologies and ready to upgrade.
Creative thinking for PPT, Documents, Video creation.
Only experienced in training people with 3-6 years can whatsApp on
9503925388

Only Pune based person

Consistent Video Depth Estimation

https://roxanneluo.github.io/Consistent-Video-Depth-Estimation/

Paper: https://arxiv.org/abs/2004.15021

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YouTube: https://www.youtube.com/c/asifimmanad

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Building Neural Networks with PyTorch in Google Colab

https://www.kdnuggets.com/2020/10/building-neural-networks-pytorch-google-colab.html

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Opportunity for technical content creator/trainer.
Skills:- creative thinking, Good presentation skills
Technology:- DevOps, Git, Docker, Kubernetes, Python, AWS etc.
Ready to upgrade, even if new to these technologies.

Objective: Simplify the use of product by creating content and training.
Only for Pune location.
Call on: 9503925388
If anyone interested drop a message or share with someone who is looking for the same.

How to Identify Overfitting Machine Learning Models in Scikit-Learn

https://machinelearningmastery.com/overfitting-machine-learning-models/

@Artificial_intelligence_ai

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Here's how we're using AI to help detect misinformation.

https://ai.facebook.com/blog/heres-how-were-using-ai-to-help-detect-misinformation/

@Artificial_intelligence_ai

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One of our followers needs a ML person for A.I startup company in Chennai.
Area to work is object detection and tracking model.
If interested get in touch with:
Hariprakash:
Whatsapp: 8056921581
Email: carrers@pershcorporation.com

https://machinelearningmastery.com/calculate-principal-component-analysis-scratch-python/

@Artificial_intelligence_ai

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Denoising Diffusion Probabilistic Models

https://hojonathanho.github.io/diffusion/

Github: https://github.com/hojonathanho/diffusion

Paper: https://arxiv.org/abs/2006.11239

@Artificial_intelligence_ai

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8 Top Books on Data Cleaning and Feature Engineering

https://machinelearningmastery.com/books-on-data-cleaning-data-preparation-and-feature-engineering/

Denoising Diffusion Probabilistic Models

@Artificial_intelligence_ai

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Watch the video: https://youtu.be/9fVNtVr_luc

The paper covered: https://arxiv.org/abs/2006.06676

GitHub with code: https://github.com/NVlabs/stylegan2-ada

NVIDIA's Applied Research Program: https://www.nvidia.com/accelerateresearch/

@Artificial_intelligence_ai

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Required Web Developer candidates
Role: Web Developer
2-5 years experience
Skills - Node-JS/Java, MongoDB/MySQL/Redis, NordeJS framework: Hapi/Express, Kafka/RabbitMQ, SQL and NOSQL
Good knowledge of OOPs concepts, creating REST web services
Good experience in TDD approach, socket programming, Cloud deployments
Budget - 4-10 LPA
Immediate joiners preferable
Location: Pune
Interested candidate email your updated CV at sagar@sanfini.com
Or call Sagar - 9423094090