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Some ideas for figures to add to the PPT
- [ ] Linear regression, single-layer neural network
- [ ] Multilayer Perceptron with hidden layer
- [ ] Backpropagation
- [ ] Batch Normalization and al…
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This issue serves as an umbrella issue for integrating networks from LTSF-Linear. Deep learning has proven to be an effective way to predict time series data. To expand this type of forecasting in skt…
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# Goal
As a machine learning developer, I want to embed automated methods for machine learning, so that I can run systematic processes on raw data and select relevant models for processing data.
As a…
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I want to know whether we can use pretrained model of language other than english
in different Aligner with same Kaldi toolkit uses ANN as Acoustic model?
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : ChatGPT Paraphrases Analysis using NLP
:red_circle: **Aim** : The aim of this project to analyze the Ch…
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[Physics Informed Neural Networks by NVIDIA](https://docs.nvidia.com/deeplearning/modulus/user_guide/theory/recommended_practices.html#physics-informed-neural-networks) ... more generally, [Physics-In…
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Sure, here's a simplified outline of an improved SMO algorithm where the exploitation phase is replaced with cuckoo search algorithm for a deep learning classification task using Convolutional Neural …
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# NASNet
- Learning Transferable Architectures for Scalable Image Recognition
- 基于 [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578)
- `Normal Cell` - 输…
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For example, I want to compare the performances of neural networks with different number of hidden layers. Instead of defining neural networks in compile-time, can I create neural networks in run-time…
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This issue is to discuss the ml-commons tenet/goal, architecture and the underlying principles of design rationale.
## Introduction
This repository aims to provide a collection of essential fr…