TensorFlow-and-DeepLearning-Tutorial | A TensorFlow & Deep Learning online course | Machine Learning library
kandi X-RAY | TensorFlow-and-DeepLearning-Tutorial Summary
kandi X-RAY | TensorFlow-and-DeepLearning-Tutorial Summary
TensorFlow-and-DeepLearning-Tutorial is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. TensorFlow-and-DeepLearning-Tutorial has no bugs, it has no vulnerabilities and it has medium support. However TensorFlow-and-DeepLearning-Tutorial build file is not available. You can download it from GitHub.
This is a collection of my deep learning tutorials. Season 1 is introduction to TensorFlow, fully connected neural networks and convolutional neural networks. Season 2 is about Natural Language Processing, sort of.
This is a collection of my deep learning tutorials. Season 1 is introduction to TensorFlow, fully connected neural networks and convolutional neural networks. Season 2 is about Natural Language Processing, sort of.
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TensorFlow-and-DeepLearning-Tutorial has a medium active ecosystem.
It has 2326 star(s) with 635 fork(s). There are 183 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 27 have been closed. On average issues are closed in 21 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of TensorFlow-and-DeepLearning-Tutorial is current.
Quality
TensorFlow-and-DeepLearning-Tutorial has 0 bugs and 220 code smells.
Security
TensorFlow-and-DeepLearning-Tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
TensorFlow-and-DeepLearning-Tutorial code analysis shows 0 unresolved vulnerabilities.
There are 2 security hotspots that need review.
License
TensorFlow-and-DeepLearning-Tutorial does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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TensorFlow-and-DeepLearning-Tutorial releases are not available. You will need to build from source code and install.
TensorFlow-and-DeepLearning-Tutorial has no build file. You will be need to create the build yourself to build the component from source.
TensorFlow-and-DeepLearning-Tutorial saves you 1560 person hours of effort in developing the same functionality from scratch.
It has 3471 lines of code, 195 functions and 38 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed TensorFlow-and-DeepLearning-Tutorial and discovered the below as its top functions. This is intended to give you an instant insight into TensorFlow-and-DeepLearning-Tutorial implemented functionality, and help decide if they suit your requirements.
- Runs the test accuracy
- Calculate the regularization layer
- Visualize the filter map
- Define the model
- Runs the training
- Yield samples from samples and labels
- Compute accuracy
- Prints the confusion matrix
- Basic operation
- Yields a portion of the given value
- Perform a GET request
- Context manager to pause an event
- Normalize an array
- Get a URL
- Start all tasks
- Show an image
- Download a file
- Define tensorflow graph
- Build a dataset
- Reformat samples according to labels
- Generate a batch of data
- Train the model
- Read data from a zip file
Get all kandi verified functions for this library.
TensorFlow-and-DeepLearning-Tutorial Key Features
No Key Features are available at this moment for TensorFlow-and-DeepLearning-Tutorial.
TensorFlow-and-DeepLearning-Tutorial Examples and Code Snippets
No Code Snippets are available at this moment for TensorFlow-and-DeepLearning-Tutorial.
Community Discussions
Trending Discussions on TensorFlow-and-DeepLearning-Tutorial
QUESTION
I was suffered an error when I learn useing tensorflow to build a fully connected neutral network
Asked 2017-May-27 at 07:57
I want to build a fully connected neutral network by tensorflow,I use the code like this.
...ANSWER
Answered 2017-May-27 at 07:57finally I found the reason by print my code and the demo from the github. It is because the function get_chunk,Ireturn the List labels[stepStart: stepStart]. def get_chunk(samples, labels, chunkSize): if len(samples) != len(labels): raise Exception('dataset is wrong!!!!!')
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TensorFlow-and-DeepLearning-Tutorial
You can download it from GitHub.
You can use TensorFlow-and-DeepLearning-Tutorial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use TensorFlow-and-DeepLearning-Tutorial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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