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- [FFT Convolution](https://www.dspguide.com/ch18/2.htm)
- [Very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add](https://arxiv.org/pdf/1601.06815…
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### Automated Image Colorization Using Deep Learning
#### **Description:**
This project aims to develop an **automated image colorization model** that can take black-and-white images and transform…
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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```
docs/
├── README.md # Overview of the documentation structure
├── getting-started/
│ ├── introduction.md # Introduction to AIBuddies and AI
│ …
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
3 months ago
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**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
Yes, Image Super-Resolution (ISR) is directly related to solving specific…
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## Addition of an AI Vision-Based Solution for Road Condition Monitoring
The solution aims to automate the detection and classification of road surface defects (such as potholes, cracks, etc.) usin…
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O Programming Historian em Português recebeu a proposta de tradução da lição [Creating Deep Convolutional Neural Networks for Image Classification](https://programminghistorian.org/en/lessons/image-cl…
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https://ellenseonofficial.notion.site/11-Convolutional-Neural-Networks-Deep-Convolutional-Models-Case-Studies-d987fa5dc0d7411b9da4d40c25469ad1
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http://doi.org/10.1101/085118 (http://biorxiv.org/content/early/2016/11/02/085118)
> Morphological profiling aims to create signatures of genes, chemicals and diseases from microscopy images. Curre…