Detect file content types with deep learning
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Updated
May 23, 2024 - Python
Detect file content types with deep learning
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
Collection of Keras models used for classification
Keras implementation of a ResNet-CAM model
Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube
Object classification with CIFAR-10 using transfer learning
Classify movie posters by genre
We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
Distributed Keras Engine, Make Keras faster with only one line of code.
Classifying 10 different categories of Sound using Deep Learning.
RNN classifier built with Keras to classify MNIST dataset
Implemented two papers for offline signature verification. Both use different deep learning techniques - Convolutional network and Siamese network.
Image Recognition using Deep Convolutional Network and Training Pre-trained Models ("Inception")
An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.
Multiple Handwritten Digit Recognition app Using Deep Learing - CNN from Canvas build on tkinter- GUI
A deep learning model built to detect cataract in human eyes using the VGG-19 pretrained weights
Automatically recognizing pictured dishes.
Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".
Source code for the paper "Color-aware two-branch DCNN for efficient plant disease classification".
A cat vs dog image classifier built with keras and then exported to be used in the browser by tensorflow.js
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