stanford-cs229 VS coursera-deep-learning-specialization

Compare stanford-cs229 vs coursera-deep-learning-specialization and see what are their differences.

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford (by zyxue)
stanford cs229 Machine Learning andrew-ng andrew-ng-course

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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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stanford-cs229 coursera-deep-learning-specialization
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0.8 4.7
over 2 years ago 14 days ago
Jupyter Notebook Jupyter Notebook
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stanford-cs229

Posts with mentions or reviews of stanford-cs229. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing stanford-cs229 and coursera-deep-learning-specialization you can also consider the following projects:

cs229-solution - CS229 Solution (summer 2019, 2020).

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]

cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University

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

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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!

Soevnn - A neural net with a terminal-based testing program.

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

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