Real-time driver distraction detection using time-distributed convolutional LSTM network for mobile platforms
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Updated
Mar 17, 2021 - Jupyter Notebook
Real-time driver distraction detection using time-distributed convolutional LSTM network for mobile platforms
This script trains a convolutional neural network (CNN) to classify handwritten digits.
A neural network model based on TensorFlow that predicts shape of brick
Deep Learning Nanodegree Project : Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied with an image of a human, the code will identify the resembling dog breed.
Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN
Predict whether a DonorsChoose.org project proposal submitted by a teacher will be approved.
Computer Vision and Deep Learning
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.
Detecting Pneumonia in Chest X-ray Images using CNNs and Pre-trained Models in Tensorflow
Understanding the performance of different neural network architectures on the MNIST handwritten digits dataset, implemented in Tensorflow.
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
A deep learning project based on TensorFlow that recognizes color patterns of brick.
A CNN Architecture classifies 14 kinds of automobile parts.
A loss function for categories with a hierarchical structure.
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Binary and Categorical Focal loss implementation in Keras.
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