{
  "id": 20795,
  "title": "Laptop Specs for loading the entire data set in minimum time(no GPU)",
  "url": "/competitions/state-farm-distracted-driver-detection/discussion/20795",
  "author_name": "",
  "post_date": "2016-05-07T20:51:14.643Z",
  "votes": null,
  "comment_count": 7,
  "views": 1093,
  "content": "<p>Hey,</p>\n\n<p>It's taking days(weeks) for pre-trained networks to train on my laptop(Intel i3, 2.5 GHz, Quad core, 4 GB Ram). Can anyone suggest what specifications handle the data best?(Please mention the approximate training time as well ) </p>\n\n<p>Thanks</p>",
  "messages": [
    {
      "id": "119183",
      "postDate": "05/07/2016 20:51:14",
      "content": "<p>Hey,</p>\n\n<p>It's taking days(weeks) for pre-trained networks to train on my laptop(Intel i3, 2.5 GHz, Quad core, 4 GB Ram). Can anyone suggest what specifications handle the data best?(Please mention the approximate training time as well ) </p>\n\n<p>Thanks</p>",
      "rawMarkdown": "Hey,\r\n\r\nIt's taking days(weeks) for pre-trained networks to train on my laptop(Intel i3, 2.5 GHz, Quad core, 4 GB Ram). Can anyone suggest what specifications handle the data best?(Please mention the approximate training time as well ) \r\n\r\nThanks",
      "votes": null
    },
    {
      "id": "119343",
      "postDate": "05/09/2016 09:43:05",
      "content": "<p>Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of <em>months</em>. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.</p>",
      "rawMarkdown": "Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of *months*. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.",
      "votes": null
    },
    {
      "id": "124893",
      "postDate": "06/23/2016 07:09:20",
      "content": "<p>[quote=Neil Slater;119343]</p>\n\n<p>Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of <em>months</em>. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.</p>\n\n<p>[/quote]\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.</p>",
      "rawMarkdown": "[quote=Neil Slater;119343]\r\n\r\nWithout a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of *months*. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.\r\n\r\n\r\n[/quote]\r\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.",
      "votes": null
    },
    {
      "id": "124895",
      "postDate": "06/23/2016 07:11:34",
      "content": "<p>[quote=panzer;124893]</p>\n\n<p>[quote=Neil Slater;119343]</p>\n\n<p>Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of <em>months</em>. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.</p>\n\n<p>[/quote]\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.</p>\n\n<p>[/quote]I  want to buy  a desktop and  need a reference.Thx. </p>",
      "rawMarkdown": "[quote=panzer;124893]\r\n\r\n[quote=Neil Slater;119343]\r\n\r\nWithout a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of *months*. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.\r\n\r\n\r\n[/quote]\r\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.\r\n\r\n[/quote]I  want to buy  a desktop and  need a reference.Thx.",
      "votes": null
    },
    {
      "id": "124951",
      "postDate": "06/23/2016 19:59:15",
      "content": "<p>@panzer: I don't have a GPU and have dropped out of the competition. There are lots of choices, perhaps someone else who is competing on a GPU can give you some guidance.</p>",
      "rawMarkdown": "panzer: I don't have a GPU and have dropped out of the competition. There are lots of choices, perhaps someone else who is competing on a GPU can give you some guidance.",
      "votes": null
    },
    {
      "id": "125008",
      "postDate": "06/24/2016 15:19:21",
      "content": "<p>Hi panzer,</p>\n\n<p>I use <a href=\"http://www.geforce.co.uk/hardware/desktop-gpus/geforce-gtx-980\">NVIDIA GTX 980</a> in this competition.<br>\nI recommend that you buy <a href=\"http://www.geforce.co.uk/hardware/10series/geforce-gtx-1080\">NVIDIA GTX 1080</a> which is newer products.</p>",
      "rawMarkdown": "Hi panzer,\r\n\r\nI use [NVIDIA GTX 980][1] in this competition.<br>\r\nI recommend that you buy [NVIDIA GTX 1080][2] which is newer products.\r\n\r\n\r\n  [1]: http://www.geforce.co.uk/hardware/desktop-gpus/geforce-gtx-980\r\n  [2]: http://www.geforce.co.uk/hardware/10series/geforce-gtx-1080",
      "votes": null
    },
    {
      "id": "125074",
      "postDate": "06/25/2016 13:45:03",
      "content": "<p>@Neil Slater: Thank you for the reply. It is a pity that you dropped out of the competion.</p>",
      "rawMarkdown": "Neil Slater: Thank you for the reply. It is a pity that you dropped out of the competion.",
      "votes": null
    },
    {
      "id": "125075",
      "postDate": "06/25/2016 13:46:46",
      "content": "<p>@toshi_k:  Ok ,Thank you!  </p>",
      "rawMarkdown": "toshi_k:  Ok ,Thank you!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 119343,
      "author_name": "slobo777",
      "author_url": "",
      "post_date": "05/09/2016 09:43:05",
      "content": "<p>Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of <em>months</em>. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 124893,
      "author_name": "lasshpanzer",
      "author_url": "",
      "post_date": "06/23/2016 07:09:20",
      "content": "<p>[quote=Neil Slater;119343]</p>\n\n<p>Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of <em>months</em>. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.</p>\n\n<p>[/quote]\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 124895,
      "author_name": "lasshpanzer",
      "author_url": "",
      "post_date": "06/23/2016 07:11:34",
      "content": "<p>[quote=panzer;124893]</p>\n\n<p>[quote=Neil Slater;119343]</p>\n\n<p>Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of <em>months</em>. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.</p>\n\n<p>[/quote]\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.</p>\n\n<p>[/quote]I  want to buy  a desktop and  need a reference.Thx. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 124951,
      "author_name": "slobo777",
      "author_url": "",
      "post_date": "06/23/2016 19:59:15",
      "content": "<p>@panzer: I don't have a GPU and have dropped out of the competition. There are lots of choices, perhaps someone else who is competing on a GPU can give you some guidance.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 125008,
      "author_name": "toshik",
      "author_url": "",
      "post_date": "06/24/2016 15:19:21",
      "content": "<p>Hi panzer,</p>\n\n<p>I use <a href=\"http://www.geforce.co.uk/hardware/desktop-gpus/geforce-gtx-980\">NVIDIA GTX 980</a> in this competition.<br>\nI recommend that you buy <a href=\"http://www.geforce.co.uk/hardware/10series/geforce-gtx-1080\">NVIDIA GTX 1080</a> which is newer products.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 125074,
      "author_name": "lasshpanzer",
      "author_url": "",
      "post_date": "06/25/2016 13:45:03",
      "content": "<p>@Neil Slater: Thank you for the reply. It is a pity that you dropped out of the competion.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 125075,
      "author_name": "lasshpanzer",
      "author_url": "",
      "post_date": "06/25/2016 13:46:46",
      "content": "<p>@toshi_k:  Ok ,Thank you!  </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "119183": "Hey,\r\n\r\nIt's taking days(weeks) for pre-trained networks to train on my laptop(Intel i3, 2.5 GHz, Quad core, 4 GB Ram). Can anyone suggest what specifications handle the data best?(Please mention the approximate training time as well ) \r\n\r\nThanks",
    "119343": "Without a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of *months*. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.",
    "124893": "[quote=Neil Slater;119343]\r\n\r\nWithout a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of *months*. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.\r\n\r\n\r\n[/quote]\r\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.",
    "124895": "[quote=panzer;124893]\r\n\r\n[quote=Neil Slater;119343]\r\n\r\nWithout a GPU you can forget the deep pre-trained models, they are too large and you would be looking at training times of *months*. It is realistic to try ZFTurbo's starter script and tune it a little. You should be able to get a score below 1.0 on your laptop with a few overnight training runs and some good choices when tuning the network. Chances of winning on any CPU-only rig are zero.\r\n\r\n\r\n[/quote]\r\nHi Neil . Can  you tell me  your  computer rig  for  some competions that use cnn.\r\n\r\n[/quote]I  want to buy  a desktop and  need a reference.Thx.",
    "124951": "panzer: I don't have a GPU and have dropped out of the competition. There are lots of choices, perhaps someone else who is competing on a GPU can give you some guidance.",
    "125008": "Hi panzer,\r\n\r\nI use [NVIDIA GTX 980][1] in this competition.<br>\r\nI recommend that you buy [NVIDIA GTX 1080][2] which is newer products.\r\n\r\n\r\n  [1]: http://www.geforce.co.uk/hardware/desktop-gpus/geforce-gtx-980\r\n  [2]: http://www.geforce.co.uk/hardware/10series/geforce-gtx-1080",
    "125074": "Neil Slater: Thank you for the reply. It is a pity that you dropped out of the competion.",
    "125075": "toshi_k:  Ok ,Thank you!"
  },
  "source": "meta"
}