Wide & Deep Learning with TensorFlow – Machine Learning November 29, 2019 11 By Stanley Isaacs CategoryArticles BlogTagsai artificial intelligence deep learning developers Fullname: other GDS: Full Production google Google Research Linear Models Location: MTV Machine Intelligence machine learning neural networks Other: NoGreenScreen product: web Recommender Systems Team: Scalable Advocacy TensorFlow tf.learn Type: Other Wide & Deep Learning 11 Comments Mercuric redRoad says: June 29, 2016 at 5:51 pm So impressive! Reply TheYBooks says: June 29, 2016 at 8:39 pm what kind of background is needed to start with machine learning ? Reply Hui Lin says: June 30, 2016 at 1:29 am 太讓人振奮了，感動中——- Reply kaushik raghupathruni says: June 30, 2016 at 3:45 am good Reply tamuka chikanyairo says: June 30, 2016 at 3:55 pm 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 [email protected] Reply Wu Peter says: July 1, 2016 at 3:52 pm 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） Reply Baran Kaynak says: July 7, 2016 at 12:50 am Hello Mustafa İspir. I am proud of to see a Turk in this video. I wish you to get more success… Reply Siraj Raval says: July 19, 2016 at 11:29 pm Hell yeah! If you guys like machine learning check out my new ML series on my channel. Reply 简丹 says: November 17, 2016 at 2:53 pm Hello,I get this error when i try to run the existing wide_n_deep_tutorial.py, any ideas on this? (tensorflow) [email protected]:~$ 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! Reply estudading electronica says: July 26, 2017 at 2:03 am y los subtitulos en español? Reply Rankz says: June 19, 2019 at 11:32 am I like how the background music gives the illusion that this explanation is simple. Reply Leave a Reply Cancel reply Your email address will not be published. Required fields are marked *Comment Name * Email * Save my name, email, and website in this browser for the next time I comment.