This is the Linux app named Tensorflow 2017 Tutorials whose latest release can be downloaded as Tensorflow-Tutorialsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Tensorflow 2017 Tutorials with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
Tensorflow 2017 Tutorials
DESCRIPTION
Tensorflow 2017 Tutorials is a structured set of tutorials that introduce developers to TensorFlow, starting with basic neural network constructs and progressing to sophisticated model architectures and training techniques. This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training.
Features
- Step-by-step TensorFlow learning content
- Neural network creation from basic to advanced
- Code examples for CNN, RNN, autoencoders, and GANs
- TensorBoard and dataset usage demonstrations
- Transfer learning and advanced workflows
- Repository structure that supports incremental progression
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tensorflow-2017.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
