TensorFlow2.0_Notebooks VS Emotion_Detection_CNN_keras

Compare TensorFlow2.0_Notebooks vs Emotion_Detection_CNN_keras and see what are their differences.

TensorFlow2.0_Notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0 (by IvanBongiorni)
Tensorflow Tensorflow2 tensorflow-tutorials Machine Learning Deep Learning neural-network batch-gradient-descent autoencoder convolutional-neural-networks Lstm dimensionality-reduction forecast-model cnn-classifier Classifier Rnn rnn-tensorflow Data Science Python python-3 autograph
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Emotion_Detection_CNN_keras

Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time. (by mayankchaudhary26)
convolutional-neural-networks Keras Machine Learning neural-networks face-recognition emotion-detection
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TensorFlow2.0_Notebooks Emotion_Detection_CNN_keras
1 1
37 13
- -
0.0 0.0
about 3 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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TensorFlow2.0_Notebooks

Posts with mentions or reviews of TensorFlow2.0_Notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-17.

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 TensorFlow2.0_Notebooks and Emotion_Detection_CNN_keras you can also consider the following projects:

mmcv - OpenMMLab Computer Vision Foundation

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

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

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

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

docs - TensorFlow documentation

TensorFlow2.0_Notebooks vs mmcv Emotion_Detection_CNN_keras vs coursera-deep-learning-specialization TensorFlow2.0_Notebooks vs Time-Series-Forecasting-Using-LSTM Emotion_Detection_CNN_keras vs saliency TensorFlow2.0_Notebooks vs ai-art-generator Emotion_Detection_CNN_keras vs Anime4K TensorFlow2.0_Notebooks vs cryptocurrency-price-prediction TensorFlow2.0_Notebooks vs strv-ml-mask2face TensorFlow2.0_Notebooks vs TensorFlow-Tutorials TensorFlow2.0_Notebooks vs Deep-Learning-In-Production TensorFlow2.0_Notebooks vs Network-Intrusion-Detection-Using-Machine-Learning TensorFlow2.0_Notebooks vs docs