This script trains a convolutional neural network (CNN) to classify handwritten digits.
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Updated
Apr 16, 2024 - Jupyter Notebook
This script trains a convolutional neural network (CNN) to classify handwritten digits.
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN
This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.
A CNN Architecture classifies 14 kinds of automobile parts.
Binary and Categorical Focal loss implementation in Keras.
A neural network model based on TensorFlow that predicts shape of brick
Computer Vision and Deep Learning
A deep learning project based on TensorFlow that recognizes color patterns of brick.
Understanding the performance of different neural network architectures on the MNIST handwritten digits dataset, implemented in Tensorflow.
Predict whether a DonorsChoose.org project proposal submitted by a teacher will be approved.
Detecting Pneumonia in Chest X-ray Images using CNNs and Pre-trained Models in Tensorflow
Real-time driver distraction detection using time-distributed convolutional LSTM network for mobile platforms
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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.
A loss function for categories with a hierarchical structure.
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
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