Language Model based on Recurrent Neural Networks implemented in Tensorflow (with manual graph unrolling) and continuation of sentences based on the language model
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Updated
Jan 8, 2018 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Language Model based on Recurrent Neural Networks implemented in Tensorflow (with manual graph unrolling) and continuation of sentences based on the language model
My understandings of the tensorflow on the expedition to learn it!
Triple Three Engine (3T) is a Tic Tac Toe engine. It uses Machine Learning (ML) to predict the best move in a given Tic Tac Toe position. It can be trained to predict the best move in any board size, although the default is a 3 by 3 board.
Benchmark of sci-kit learn models and a tensorflow model for Binary Image Classification
A TensorFlow implementation of Multi-Speaker Tacotron which was introduced on Deep Voice 2 paper by Baidu.
TensorFlow Model Deployment
personal deep model idea&baseline experiment,using tensorflow.
Tensorflow model to predict the price to bargain.
Project "Generating Coherent Sentences" (PAr 142, Ecole Centrale de Lyon, 2017)
Models and examples built with TensorFlow
Sipaling is a web application that predicts stock prices using an LSTM deep learning model
Transforms your tensorflow graph to automatically do data parallelism for training
It's a code for chatbot. I completed only training. I get some results its not accurate, I added results.py also . getting Errors. it's results like this response("what is you bank timings") it give exact answer 9 to 6. so you run first train.py then response.py. Now I added full code to get results
Exploring models for forecasting web services response time
A neural network model in TensorFlow that is very versatile, in that changing the number of layers or the sizes of each of those layers is done just by changing the value of a parameter. Also includes script to load data to the model from .csv files and to transform images into numpy arrays and .csv files compatible with the network.
Tensorflow deep-learning framework + the CIFAR-10 dataset = classification model based on a convolutional neural network
사람의 걸음걸이를 딥러닝 모델을 이용하여 뼈대를 찾는 이미지 프로세싱
Deep Learning course, Computer Science M.Sc., Ben Gurion University of the Negev, Israel, 2021
Created by Google Brain Team
Released November 9, 2015