Binary and Categorical Focal loss implementation in Keras.
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Updated
Dec 20, 2024 - 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.
Lightweight neural network library written in ANSI-C supporting prediction and backpropagation for Convolutional- and Fully Connected neural networks
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.
Transform TV control with Gesture Recognition! Enable intuitive interaction with smart TVs using gestures built using Conv3D, CNN & RNN
AIND Jupyter Notebook to predict student admissions using Keras Neural Networks
Applying Categorical Exploratory Data Analysis (CEDA) methods to study audio quality perception
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