❤ Blog post with code for this video: medium.com/@AmyGrabNGoInfo/categorical-entity-embedding-using-python-tensorflow-keras-dac153cbffd2 📒 Code Notebook: mailchi.mp/9527a98c00ac/l7eqdvbi3y 🚛 GrabNGoInfo Machine Learning Tutorials Inventory: medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67 🙏 Give me a tip to show your appreciation and help me keep providing free content: www.paypal.com/donate/?hosted_button_id=4PZAFYA8GU8JW ✅ Join Medium Membership: If you are not a Medium member and want to support me to keep providing free content (😄 Buy me a cup of coffee ☕), join Medium membership through this link: medium.com/@AmyGrabNGoInfo/membership You will get full access to posts on Medium for $5 per month, and I will receive a portion of it. Thank you for your support! 🎞 Deep Learning playlist: ua-cam.com/play/PLVppujud2yJqk0VRts7ylIoIzfBkA_3WT.html 📺 Videos mentioned in the video Google Colab Tutorial for Beginners: ua-cam.com/video/nN0N_ZT2XYg/v-deo.html
Thank you very much! For a very long time I have been looking for information about embedding categorical variables in boosting models, but I found almost nothing or the information was incomprehensible. Now I understand everything. Thank you!
x = reshape()(x) what does x on the right side mean ?? Help me with that please Similar to your documentation emb_cat = Reshape(....)(emb_cat) What does emb_cat after Reshape function on the right side mean ?
Hi SSg, the x in reshape()(x) and emb_cat in Reshape(....)(emb_cat) are the object passed in the reshape(). You can see that emb_cat is Keras Tensor with 3 dimensions before reshaping, and it's a Keras Tensor with 2 dimensions after reshaping.
❤ Blog post with code for this video: medium.com/@AmyGrabNGoInfo/categorical-entity-embedding-using-python-tensorflow-keras-dac153cbffd2
📒 Code Notebook: mailchi.mp/9527a98c00ac/l7eqdvbi3y
🚛 GrabNGoInfo Machine Learning Tutorials Inventory: medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67
🙏 Give me a tip to show your appreciation and help me keep providing free content: www.paypal.com/donate/?hosted_button_id=4PZAFYA8GU8JW
✅ Join Medium Membership: If you are not a Medium member and want to support me to keep providing free content (😄 Buy me a cup of coffee ☕), join Medium membership through this link: medium.com/@AmyGrabNGoInfo/membership
You will get full access to posts on Medium for $5 per month, and I will receive a portion of it. Thank you for your support!
🎞 Deep Learning playlist: ua-cam.com/play/PLVppujud2yJqk0VRts7ylIoIzfBkA_3WT.html
📺 Videos mentioned in the video
Google Colab Tutorial for Beginners: ua-cam.com/video/nN0N_ZT2XYg/v-deo.html
Thank you very much!
For a very long time I have been looking for information about embedding categorical variables in boosting models, but I found almost nothing or the information was incomprehensible. Now I understand everything. Thank you!
this was simply awesome
x = reshape()(x)
what does x on the right side mean ?? Help me with that please
Similar to your documentation emb_cat = Reshape(....)(emb_cat)
What does emb_cat after Reshape function on the right side mean ?
Hi SSg, the x in reshape()(x) and emb_cat in Reshape(....)(emb_cat) are the object passed in the reshape(). You can see that emb_cat is Keras Tensor with 3 dimensions before reshaping, and it's a Keras Tensor with 2 dimensions after reshaping.
@@grabngoinfo So is the variable an object class variable??
notebook link is no longer available😭
colab.research.google.com/drive/13U4YRIdEu7SWS1ttiJPSrSayQHNbIaT_?usp=sharing