Google Developers
Wide & Deep Learning (https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html) combines the power of memorization and generalization by jointly training wide linear models and deep neural networks. We’ve open-sourced the implementation with an easy-to-use API in TensorFlow. It’s effective for generic large-scale regression and classification problems with sparse inputs, such as recommender systems, search, ranking problems and more. We hope you find it useful in your machine learning projects.
Check out our blog post with links to tutorials, code samples, and our research paper:
– Google Research Blog post: https://research.googleblog.com/2016/06/wide-deep-learning-better-together-with.html
– TensorFlow Linear Model Tutorial: https://www.tensorflow.org/tutorials/wide/
– TensorFlow Wide & Deep Learning Tutorial: https://www.tensorflow.org/tutorials/wide_and_deep/
– Research paper: http://arxiv.org/abs/1606.07792
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Source
So impressive!
what kind of background is needed to start with machine learning ?
太讓人振奮了，感動中——-
good
can someone give me the links for materials to get started with machine learning and deep learning please or feel free to send me resources at caswelltamuka@gmail.com
凤凰大视野 (2016年06月29日) 风向北吹——北伐战争90周年回望（三）
Hello Mustafa İspir. I am proud of to see a Turk in this video. I wish you to get more success…
Hell yeah! If you guys like machine learning check out my new ML series on my channel.
Hello,
I get this error when i try to run the existing wide_n_deep_tutorial.py, any ideas on this?
(tensorflow) xx@ubuntu:~$ python wide_n_deep_tutorial.py –model_type=wide_n_deep
Traceback (most recent call last):
File "wide_n_deep_tutorial.py", line 208, in <module>
tf.app.run()
File "/xxxxxxx/anaconda2/envs/tensorflow/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
File "wide_n_deep_tutorial.py", line 204, in main
train_and_eval()
File "wide_n_deep_tutorial.py", line 196, in train_and_eval
m = build_estimator(model_dir)
File "wide_n_deep_tutorial.py", line 80, in build_estimator
gender = tf.contrib.layers.sparse_column_with_hash_bucket(
AttributeError: 'module' object has no attribute 'sparse_column_with_hash_bucket'
I have no problems with TF installation, and my tensorflow version is 0.9 ,python 2.7 .Last week,the text_cnn.py examples run just fine.
Thanks!
y los subtitulos en español?
I like how the background music gives the illusion that this explanation is simple.