Binary and Categorical Focal loss implementation in Keras.
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Updated
Nov 21, 2022 - Python
Binary and Categorical Focal loss implementation in Keras.
A loss function for categories with a hierarchical structure.
Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
This project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project.
Computer Vision and Deep Learning
Real-time driver distraction detection using time-distributed convolutional LSTM network for mobile platforms
A CNN Architecture classifies 14 kinds of automobile parts.
A deep learning project based on TensorFlow that recognizes color patterns of brick.
This script trains a convolutional neural network (CNN) to classify handwritten digits.
A neural network model based on TensorFlow that predicts shape of brick
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.
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.
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
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.
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