TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code" - tech-srl/code2vec
Most frameworks such as TensorFlow, Theano, Caffe, and CNTK have a static view of the world. One has to build a neural network and reuse the same structure again and again. Changing the way the network behaves means that one has to start from scratch. With PyTorch, we use a technique ...
Notebook 1 — Learn Neural Network Regression with TensorFlow Discussing the architecture of a neural network regression model (a model which predicts a number such as the price of a house) Input shapes and output shapes of a regression model: X: features/data (inputs) y: labels (outputs) ...
For this tutorial, we will be using Keras with the TensorFlow backend, so if you haven’t installed either of these, now is a good time to do so. You can accomplish this simply by running these commands in your terminal. When you move beyond simple introductory examples it is best to s...
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion oooolga/Ctrl-V • • 9 Jun 2024 To accomplish this, we 1) control object movements using bounding boxes and extend this control to the renderings of 2D or 3D boxes in pixel space, 2) employ a distinct...
tensorflow/models • • 9 Dec 2015 We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by 3D CAD models of objects. 17 Paper Code A high-bias, low-variance introduction to Machine Learning for physicists drckf/mlreview_notebooks • 23 Mar 2018 The pur...
这里使用TensorFlow实践了一下基于自编码的One-Class-Learning,代码引用自[参考文献4],使用MNIST数据进行自编码,首先用0-9这10个类别的数据进行训练,输入层和输出层节点数为784,中间层有两层,节点数分别为256、128,下图中第一排是原始图片,第二排是自编码后解码的图片,可以认为第二排图片是128个单元节点的压缩表...
schemas.azureedge.net/latest/commandJob.schema.jsoncode:srccommand:> python train.pyenvironment:azureml:AzureML-tensorflow-2.4-ubuntu18.04-py37-cuda11-gpu:48resources:instance_type:Standard_NC12instance_count:3experiment_name:tensorflow-mnist-exampledescription:TrainabasicneuralnetworkwithTensorFlowonthe...
卷积神经网络(convolutional neural network)是含有卷积层(convolutional layer)的神经网络。 本章中,将介绍其中最常见的二维卷积层,包含高和宽两个空间维度,常用来处理图像数据。 本节中,将介绍简单形式的二维卷积层的工作原理。 1.1 two dimentional cross-correlation ...
Last built with TensorFlow version: 1.8.0 Using Nabu Nabu works in several stages: data prepation, training and finally testing and decoding. Each of these stages uses a recipe for a specific model and database. The recipe contains configuration files for the all components and defines all the...