Detect Vegetable Image Using Tensorflow

AlexNet and Inception-V3 implemented by tensorflow v2.6 in compat-v1 mode

Polish TensorFlow website

TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.

TensorFlow Multi Layer Perceptron Example

Tensorflow image classifier with efficent Input Pipeline method, using tensorflow.data API from generator.

Entrenamiento y Reconocimiento de imagenes mediante TensorFlow.js , Ml5.js, P5.js

Implementation of DCGAN using fashionMNIST and tensorflow

Tensorflow simple project using MNIST dataset and softmax-regression

A Seq2Seq model for Tensorflow 2.0 and a few Tensorflow/Keras Seq2Seq model experiments.

TensorFlow packages for ARM64

Just some self study on tensorflow

Implemented Artificial Neural Networks, and K nearest neighbors for classification problems. Used cross-validation for improving model accuracy. Plotted different types of learning curves like error rates vs train data size, error rates vs clock time. Compared performance using learning curves and confusion matrices across algorithms.

This repo contains the set of tensorflow algorithms that I've preacticed by reading tensorflow documentation

Tensorflow 1.12.3 custom build.

Contains Deep learning examples using Tensorflow API

Neural Network Learning in Googl's Tensorflow framework