coursera-deep-learning-specialization VS Emotion_Detection_CNN_keras

Compare coursera-deep-learning-specialization vs Emotion_Detection_CNN_keras 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)

Emotion_Detection_CNN_keras

Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time. (by mayankchaudhary26)
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coursera-deep-learning-specialization Emotion_Detection_CNN_keras
112 1
2,693 13
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6.4 0.0
15 days ago over 2 years ago
Jupyter Notebook Jupyter Notebook
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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.

Emotion_Detection_CNN_keras

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

What are some alternatives?

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

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TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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

Anime4K - A High-Quality Real Time Upscaler for Anime Video

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

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

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