Examples of Tensorflow Lite on Android
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Updated
Sep 29, 2022 - Kotlin
Examples of Tensorflow Lite on Android
Deeplearning for Java.Build multi-layer perceptron neural network with JAVA.Identify the MNIST handwritten digital datasets.The accuracy rate is around 80%
miniflow is a deep learning framework built from scratch using Python and NumPy, mimicking the TensorFlow API format.
cifar 10 dataset and minist dataset
Creating models for MINST database: NN and CNN
I've worked on a research project implementing Double Convolution Neural Network using, lasagne, theano, Caffe, and Matlab using PYTHON.
Training an Auto encoder on mnist digits to exclude non-mnist digits form the database
Neural Networks in C++17
CNN trained on the MNIST dataset
Модуль 8. Глибоке навчання. Tensorflow.
An Artificial Neural Network for image classification (hand written numbers from MINST dataset).
ML-workshop
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