'
\nAll right guys! Listen up.
\nThis is what you need to do to get started on your notebooks!
\nHere is a list of starter notebooks that will help you get started on the competition.
Welcome to the Kaggle competition iwildcam2022-fgvc9!
\nGood luck and happy coding!
\n\n\n@mpwolke uses a simple CNN, TensorFlow, and GPU machines.
\n
This notebook will take you through the basics of Neural Networks, how they work and how to implement a simple 3-layer neural network in TensorFlow. Along the way, you will also learn how to load data and train your model on a GPU enabled machine. After completing this notebook, you will know enough to start working on more complicated Neural Networks.
\nIwildcam2022 Show And Extract by @stpeteishii
\n\n\nThe methods used by @stpeteishii are mainly to show how to load, extract and play with the data!
\n
If you are looking for a way to relax and de-stress, I urge you to go through my notebook. The magnificent, colorful, and vibrant images will take your breath away and transport you to another world. Each page will leave you feeling inspired and motivated.
\nIwildcam 2022 Visualize Deepmac Instance Masks by @stefanistrate
\n\n\nThis notebook uses methods such as visualization and deep learning to help the reader understand the instance masks.
\n
This notebook will help you visualize instance masks in action. After going through this notebook, you will be able to see how the training data is built detect some key components that are important for your competitive edge.
\nGps Data Visualization by @vickyskarthik
\n\n\n@vickyskarthik uses clustering methods to analyze the GPS data.
\n
Take a stroll through the world of GPS data visualization with @vickyskarthik. Using beautiful, colorful markers on an interactive map, you can explore the clustering of GPS coordinates around the world. You can also see how different clusters correspond to different physical locations. This is a great way to see how data is organized and to get a sense of where different areas are located.
\nIwild Tf Starter by @thomasdubail
\n\n\n@thomasdubail uses Tensorflow to create machine learning models.
\n
This notebook will take you on a beautiful journey into the fascinating world of deep learning, where you will learn how to create state-of-the-art machine learning models. With @thomasdubail's clear and concise instructions, you will be able to easily follow along and build your very own neural networks.
", "messages": [ { "id": "1777941", "postDate": "05/04/2022 23:55:06", "content": "'
\nAll right guys! Listen up.
\nThis is what you need to do to get started on your notebooks!
\nHere is a list of starter notebooks that will help you get started on the competition.
Welcome to the Kaggle competition iwildcam2022-fgvc9!
\nGood luck and happy coding!
\n\n\n@mpwolke uses a simple CNN, TensorFlow, and GPU machines.
\n
This notebook will take you through the basics of Neural Networks, how they work and how to implement a simple 3-layer neural network in TensorFlow. Along the way, you will also learn how to load data and train your model on a GPU enabled machine. After completing this notebook, you will know enough to start working on more complicated Neural Networks.
\nIwildcam2022 Show And Extract by @stpeteishii
\n\n\nThe methods used by @stpeteishii are mainly to show how to load, extract and play with the data!
\n
If you are looking for a way to relax and de-stress, I urge you to go through my notebook. The magnificent, colorful, and vibrant images will take your breath away and transport you to another world. Each page will leave you feeling inspired and motivated.
\nIwildcam 2022 Visualize Deepmac Instance Masks by @stefanistrate
\n\n\nThis notebook uses methods such as visualization and deep learning to help the reader understand the instance masks.
\n
This notebook will help you visualize instance masks in action. After going through this notebook, you will be able to see how the training data is built detect some key components that are important for your competitive edge.
\nGps Data Visualization by @vickyskarthik
\n\n\n@vickyskarthik uses clustering methods to analyze the GPS data.
\n
Take a stroll through the world of GPS data visualization with @vickyskarthik. Using beautiful, colorful markers on an interactive map, you can explore the clustering of GPS coordinates around the world. You can also see how different clusters correspond to different physical locations. This is a great way to see how data is organized and to get a sense of where different areas are located.
\nIwild Tf Starter by @thomasdubail
\n\n\n@thomasdubail uses Tensorflow to create machine learning models.
\n
This notebook will take you on a beautiful journey into the fascinating world of deep learning, where you will learn how to create state-of-the-art machine learning models. With @thomasdubail's clear and concise instructions, you will be able to easily follow along and build your very own neural networks.
", "rawMarkdown": "'\n\nAll right guys! Listen up.\nThis is what you need to do to get started on your notebooks!\nHere is a list of starter notebooks that will help you get started on the competition.\n\nWelcome to the Kaggle competition iwildcam2022-fgvc9!\n\nGood luck and happy coding!\n\n\n\n_____\n\n\n**[Iwildcam 2022 Cnn](https://kaggle.com/mpwolke/iwildcam-2022-cnn) by @mpwolke**\n>@mpwolke uses a simple CNN, TensorFlow, and GPU machines.\n\n\nThis notebook will take you through the basics of Neural Networks, how they work and how to implement a simple 3-layer neural network in TensorFlow. Along the way, you will also learn how to load data and train your model on a GPU enabled machine. After completing this notebook, you will know enough to start working on more complicated Neural Networks.\n\n\n\n_____\n\n\n**[Iwildcam2022 Show And Extract](https://kaggle.com/stpeteishii/iwildcam2022-show-and-extract) by @stpeteishii**\n>The methods used by @stpeteishii are mainly to show how to load, extract and play with the data!\n\nIf you are looking for a way to relax and de-stress, I urge you to go through my notebook. The magnificent, colorful, and vibrant images will take your breath away and transport you to another world. Each page will leave you feeling inspired and motivated.\n\n\n\n_____\n\n\n**[Iwildcam 2022 Visualize Deepmac Instance Masks](https://kaggle.com/stefanistrate/iwildcam-2022-visualize-deepmac-instance-masks) by @stefanistrate**\n>This notebook uses methods such as visualization and deep learning to help the reader understand the instance masks.\n\nThis notebook will help you visualize instance masks in action. After going through this notebook, you will be able to see how the training data is built detect some key components that are important for your competitive edge.\n\n\n_____\n\n\n**[Gps Data Visualization](https://kaggle.com/vickyskarthik/gps-data-visualization) by @vickyskarthik**\n>@vickyskarthik uses clustering methods to analyze the GPS data.\n\nTake a stroll through the world of GPS data visualization with @vickyskarthik. Using beautiful, colorful markers on an interactive map, you can explore the clustering of GPS coordinates around the world. You can also see how different clusters correspond to different physical locations. This is a great way to see how data is organized and to get a sense of where different areas are located.\n\n\n\n_____\n\n\n**[Iwild Tf Starter](https://kaggle.com/thomasdubail/iwild-tf-starter) by @thomasdubail**\n>@thomasdubail uses Tensorflow to create machine learning models.\n\nThis notebook will take you on a beautiful journey into the fascinating world of deep learning, where you will learn how to create state-of-the-art machine learning models. With @thomasdubail's clear and concise instructions, you will be able to easily follow along and build your very own neural networks.", "votes": null }, { "id": "1777975", "postDate": "05/05/2022 01:11:49", "content": "Wow @satoshidatamoto
\nThank you for this brilliant description.
\nBy showing me your interest, you have convinced me to finish my notebook. 😄
I love your good vibes, @satoshidatamoto! Well done compiling this list.
", "rawMarkdown": "I love your good vibes, @satoshidatamoto! Well done compiling this list.", "votes": null }, { "id": "1853196", "postDate": "07/12/2022 17:19:26", "content": "Thank you for your work!)
", "rawMarkdown": "Thank you for your work!)", "votes": null } ], "comments": [ { "id": 1777975, "author_name": "thomasdubail", "author_url": "", "post_date": "05/05/2022 01:11:49", "content": "Wow @satoshidatamoto
\nThank you for this brilliant description.
\nBy showing me your interest, you have convinced me to finish my notebook. 😄
I love your good vibes, @satoshidatamoto! Well done compiling this list.
", "votes": null, "replies": [] }, { "id": 1853196, "author_name": "alexanderdef", "author_url": "", "post_date": "07/12/2022 17:19:26", "content": "Thank you for your work!)
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1777941": "'\n\nAll right guys! Listen up.\nThis is what you need to do to get started on your notebooks!\nHere is a list of starter notebooks that will help you get started on the competition.\n\nWelcome to the Kaggle competition iwildcam2022-fgvc9!\n\nGood luck and happy coding!\n\n\n\n_____\n\n\n**[Iwildcam 2022 Cnn](https://kaggle.com/mpwolke/iwildcam-2022-cnn) by @mpwolke**\n>@mpwolke uses a simple CNN, TensorFlow, and GPU machines.\n\n\nThis notebook will take you through the basics of Neural Networks, how they work and how to implement a simple 3-layer neural network in TensorFlow. Along the way, you will also learn how to load data and train your model on a GPU enabled machine. After completing this notebook, you will know enough to start working on more complicated Neural Networks.\n\n\n\n_____\n\n\n**[Iwildcam2022 Show And Extract](https://kaggle.com/stpeteishii/iwildcam2022-show-and-extract) by @stpeteishii**\n>The methods used by @stpeteishii are mainly to show how to load, extract and play with the data!\n\nIf you are looking for a way to relax and de-stress, I urge you to go through my notebook. The magnificent, colorful, and vibrant images will take your breath away and transport you to another world. Each page will leave you feeling inspired and motivated.\n\n\n\n_____\n\n\n**[Iwildcam 2022 Visualize Deepmac Instance Masks](https://kaggle.com/stefanistrate/iwildcam-2022-visualize-deepmac-instance-masks) by @stefanistrate**\n>This notebook uses methods such as visualization and deep learning to help the reader understand the instance masks.\n\nThis notebook will help you visualize instance masks in action. After going through this notebook, you will be able to see how the training data is built detect some key components that are important for your competitive edge.\n\n\n_____\n\n\n**[Gps Data Visualization](https://kaggle.com/vickyskarthik/gps-data-visualization) by @vickyskarthik**\n>@vickyskarthik uses clustering methods to analyze the GPS data.\n\nTake a stroll through the world of GPS data visualization with @vickyskarthik. Using beautiful, colorful markers on an interactive map, you can explore the clustering of GPS coordinates around the world. You can also see how different clusters correspond to different physical locations. This is a great way to see how data is organized and to get a sense of where different areas are located.\n\n\n\n_____\n\n\n**[Iwild Tf Starter](https://kaggle.com/thomasdubail/iwild-tf-starter) by @thomasdubail**\n>@thomasdubail uses Tensorflow to create machine learning models.\n\nThis notebook will take you on a beautiful journey into the fascinating world of deep learning, where you will learn how to create state-of-the-art machine learning models. With @thomasdubail's clear and concise instructions, you will be able to easily follow along and build your very own neural networks.", "1777975": "Wow @satoshidatamoto \nThank you for this brilliant description.\nBy showing me your interest, you have convinced me to finish my notebook. 😄", "1778171": "I love your good vibes, @satoshidatamoto! Well done compiling this list.", "1853196": "Thank you for your work!)" }, "source": "meta" }