coursera-deep-learning-specialization VS Soevnn

Compare coursera-deep-learning-specialization vs Soevnn and see what are their differences.

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models (by amanchadha)
Deep Learning Coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks rnns convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning neural-network neural-networks neural-machine-translation neural-style-transfer regularization
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Soevnn

A neural net with a terminal-based testing program. (by SurrealVectors)
neural-networks neural-network Machine Learning sparse-neural-networks recurrent-neural-networks
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coursera-deep-learning-specialization Soevnn
112 1
2,693 4
- -
6.4 1.8
16 days ago over 2 years ago
Jupyter Notebook F#
- GNU General Public License v3.0 or later
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coursera-deep-learning-specialization

Posts with mentions or reviews of coursera-deep-learning-specialization. We have used some of these posts to build our list of alternatives and similar projects.

Soevnn

Posts with mentions or reviews of Soevnn. We have used some of these posts to build our list of alternatives and similar projects.
  • What are you working on? (2021-07)
    1 project | /r/fsharp | 2 Jul 2021
    I uploaded a neural net I've been working on to github recently. It's called Soevnn ! and it is the 5th implementation of the project over the last 15 years, the first in F#. I've worked on it solo, so focusing on adding documentation for it right now. It's a bit of a relief to finally get it out there. I'm adding in-code documentation, and a wiki split into the theoretical and implementation-specific aspects of the project. It's been fun going through my research journals and organizing the information into something more cohesive.

What are some alternatives?

When comparing coursera-deep-learning-specialization and Soevnn you can also consider the following projects:

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.

start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Respiratory-Disease-Coughing-Dataset-CNN - A collection of coughing audio files from Coswara, Coughvid, and Virufy as well as generated spectrograms for the use of machine learning

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

neural-style-transfer - :paintbrush: This repository contains, well-structured Python library and runnable fully prepared Python notebook of the "Neural Style Transfer" algorithm

NeuralTextToImage - Colabs for text prompt steered image generators

NST-AI-to-create-art - NST was first introduced in 2015 paper it took advantage of how convolution neural network works to generate art

coursera-deep-learning-specialization vs cs231n coursera-deep-learning-specialization vs stanford-CS229 coursera-deep-learning-specialization vs deeplearning-notes coursera-deep-learning-specialization vs Emotion_Detection_CNN_keras coursera-deep-learning-specialization vs start-machine-learning coursera-deep-learning-specialization vs stanford-cs229 coursera-deep-learning-specialization vs Respiratory-Disease-Coughing-Dataset-CNN coursera-deep-learning-specialization vs Machine-Learning-Specialization-Coursera coursera-deep-learning-specialization vs neural-style-transfer coursera-deep-learning-specialization vs NeuralTextToImage coursera-deep-learning-specialization vs NST-AI-to-create-art