{
  "id": 195874,
  "title": "CNN Structure for cifar 10",
  "url": "/competitions/cifar-10/discussion/195874",
  "author_name": "Fernando Saraiva",
  "post_date": "2020-11-08T01:52:47.440000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello, guys, I want to do some tests in cifar10 for my Final Test, like optimizers, activation functions, but I dont want to waste time with the CNN structure, so, the structure -&gt; (CONV-ACTIVATION-BATCH NORMALIZATION)x2 - MAX POOLING - DROPOUT)x4 is good enough. Thanks in advance!</p>",
  "messages": [
    {
      "id": 1072259,
      "postDate": "2020-11-08T01:52:47.440Z",
      "content": "<p>Hello, guys, I want to do some tests in cifar10 for my Final Test, like optimizers, activation functions, but I dont want to waste time with the CNN structure, so, the structure -&gt; (CONV-ACTIVATION-BATCH NORMALIZATION)x2 - MAX POOLING - DROPOUT)x4 is good enough. Thanks in advance!</p>",
      "rawMarkdown": "Hello, guys, I want to do some tests in cifar10 for my Final Test, like optimizers, activation functions, but I dont want to waste time with the CNN structure, so, the structure -> (CONV-ACTIVATION-BATCH NORMALIZATION)x2 - MAX POOLING - DROPOUT)x4 is good enough. Thanks in advance!"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1072259": "Hello, guys, I want to do some tests in cifar10 for my Final Test, like optimizers, activation functions, but I dont want to waste time with the CNN structure, so, the structure -> (CONV-ACTIVATION-BATCH NORMALIZATION)x2 - MAX POOLING - DROPOUT)x4 is good enough. Thanks in advance!"
  }
}