{
  "total": 180,
  "topics": [
    {
      "id": 159010,
      "title": "Competition Award Winners!",
      "comment_count": 17,
      "views": 0,
      "votes": 21
    },
    {
      "id": 130276,
      "title": "Official External Data Thread",
      "comment_count": 26,
      "views": 0,
      "votes": 4
    },
    {
      "id": 130278,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 26,
      "views": 0,
      "votes": 9
    },
    {
      "id": 130277,
      "title": "Looking for a Team Thread",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 132341,
      "title": "Error TPU compilation failed",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 135507,
      "title": "ValueError: Please provide a TPU Name to connect to",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 135443,
      "title": "TPU: extreme optimizations",
      "comment_count": 39,
      "views": 0,
      "votes": 64
    },
    {
      "id": 307371,
      "title": "Violets are Blue. Tomorrow it's Valentine's (day) I love TPUs. ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 131158,
      "title": "GPUs vs TPUs performance",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 130148,
      "title": "All attempts to get a Google authentication bearer token failed",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 285056,
      "title": "Google Colab TPU",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 130657,
      "title": "How to save checkpoint?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 130135,
      "title": "Why running on CPU and not TPU ?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 131045,
      "title": "How to release  the TPU memory?",
      "comment_count": 25,
      "views": 0,
      "votes": 9
    },
    {
      "id": 130326,
      "title": "How to use my own data source? ",
      "comment_count": 18,
      "views": 0,
      "votes": 8
    },
    {
      "id": 130042,
      "title": "Can't access the data",
      "comment_count": 16,
      "views": 0,
      "votes": 4
    },
    {
      "id": 130842,
      "title": "Possible to use standard Keras API with TPU?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 148329,
      "title": "How to Score Over LB 0.970+",
      "comment_count": 47,
      "views": 0,
      "votes": 37
    },
    {
      "id": 140866,
      "title": "[placeholder] external data and how to use them",
      "comment_count": 33,
      "views": 0,
      "votes": 23
    },
    {
      "id": 132935,
      "title": "How To - CutMix and MixUp on GPU/TPU",
      "comment_count": 18,
      "views": 0,
      "votes": 73
    },
    {
      "id": 133447,
      "title": "TPU Idle time is now displayed in the UI",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 135568,
      "title": "can one use tfa optimizers with tpu?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 131235,
      "title": "TensorFlow Hub with TPUs",
      "comment_count": 13,
      "views": 0,
      "votes": 4
    },
    {
      "id": 159080,
      "title": "1st Place - TPU Leaderboard Prizes",
      "comment_count": 9,
      "views": 0,
      "votes": 23
    },
    {
      "id": 134025,
      "title": "Can I use TPU on google colab to execute this code?",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 172594,
      "title": "Detailed guide to custom training with TPUs",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 169422,
      "title": "TF Records for Triplet Loss",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 144575,
      "title": "TF - Best Macro Focal Loss and F1-Metric",
      "comment_count": 10,
      "views": 0,
      "votes": 12
    },
    {
      "id": 144409,
      "title": "File system scheme '[local]' not implemented (file: '') ? Getting this error when trying to iterate on dataset",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 161240,
      "title": "Flowers class2name mapping",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 160112,
      "title": "Anyone tried resnetv1?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 159005,
      "title": "TPU prize solution (Private Lb : 0.96816)",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 157513,
      "title": "My TPU solution - Private LB 0.96704",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 145885,
      "title": "File not found when trying to load weights uploaded as a dataset?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 130003,
      "title": "Excellent tutorial on understanding TFRecords",
      "comment_count": 13,
      "views": 0,
      "votes": 25
    },
    {
      "id": 132191,
      "title": "How To - Rotation Augmentation GPU/TPU",
      "comment_count": 39,
      "views": 0,
      "votes": 73
    },
    {
      "id": 130424,
      "title": "data augmentation",
      "comment_count": 17,
      "views": 0,
      "votes": 2
    },
    {
      "id": 129820,
      "title": "PyTorch-XLA?",
      "comment_count": 56,
      "views": 0,
      "votes": 25
    },
    {
      "id": 150454,
      "title": "Current first place solution write-up",
      "comment_count": 25,
      "views": 0,
      "votes": 41
    },
    {
      "id": 135006,
      "title": "triplet loss doesn't work on TPU",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 131213,
      "title": "what's the correct place to call model.compile() ",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 142248,
      "title": "Error when training a loaded model[RESOLVED]",
      "comment_count": 17,
      "views": 0,
      "votes": 5
    },
    {
      "id": 148058,
      "title": "Tensorflow 2.2 released",
      "comment_count": 17,
      "views": 0,
      "votes": 2
    },
    {
      "id": 144172,
      "title": "Beware: Misleading status message with TPU notebook commit",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 150908,
      "title": "Call for Nominations: TPU Star Award",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 150353,
      "title": "Which augmentations work for you ?",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 151494,
      "title": "Call for Candidates: TPU Leaderboard Prizes!",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 130194,
      "title": "How to use tpus with my own data?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 130692,
      "title": "Can we train model for this competition on Colab?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 151476,
      "title": "Disqualification versus Rules Violation",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 144836,
      "title": "Committing Notebook taking more than 1 hour",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 149877,
      "title": "TPU flowers - my summary",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 133777,
      "title": "Working Pytorch/XLA with Kaggle TPU",
      "comment_count": 12,
      "views": 0,
      "votes": 24
    },
    {
      "id": 150628,
      "title": "Question about saving models",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 150519,
      "title": "Soft F1 Loss",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 150057,
      "title": "The first competition I do not want to win :)",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 150339,
      "title": "Congrats + Please share solutions",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 150183,
      "title": "Ultimate submissions Nash equilibrium problem",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 149711,
      "title": "Highest score without external data",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 150094,
      "title": "Hoping to get a \"CLEAN\" private leaderboard",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 149552,
      "title": "It's time to ensemble",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 149550,
      "title": "Best SOTA Image classification techniques",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 149132,
      "title": "Saw tooth pattern of train loss, using custom train loop",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 148615,
      "title": "Loading keras model failed",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 141873,
      "title": "New video: what I've learned about TPU hardware",
      "comment_count": 15,
      "views": 0,
      "votes": 35
    },
    {
      "id": 147248,
      "title": "Error while importing data -need assistance ",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 144398,
      "title": "Image Generator on TPU",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 146700,
      "title": "A stupid question about notebook of type \"script\" using \"!pip\"",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 140964,
      "title": "Oxford Flowers - Kaggle Dataset for Everyone",
      "comment_count": 14,
      "views": 0,
      "votes": 37
    },
    {
      "id": 143746,
      "title": "Single best model",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 145794,
      "title": "How to use EfficientNet + TPU for Pytorch?",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 145714,
      "title": "Comparing two different schedulers",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 143236,
      "title": "AugMix implementation",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 145959,
      "title": "What's unique about tf.data?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 142107,
      "title": "Dataset is imbalanced",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 145900,
      "title": "Is there a reason this loop that predicts labels using a tensorflow model should grow in memory?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145890,
      "title": "Does the order id of submissions matter? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 143918,
      "title": "Committing taking more than 40 mins",
      "comment_count": 21,
      "views": 0,
      "votes": 1
    },
    {
      "id": 144585,
      "title": "Class Weights ... Pay Attention to Under-Represented Classes",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 145205,
      "title": "How can I generate a dataset of pairs of images of length of the original training set?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 145382,
      "title": "Is there a \"GroupBy\" type operation for Tensorflow Datasets?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 145179,
      "title": "Notebook restarts due to memory error on gpu session but not tpu?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 142928,
      "title": "free RAM",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 144641,
      "title": "How to use label smoothing on tpu, I failed, but gpu can run",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 143801,
      "title": "About Keras VS Pytorch",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 141981,
      "title": "TPU running cost?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 142087,
      "title": "Push kernel with TPU accelerator?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 144719,
      "title": "tf或者keras怎么实现mixup",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 130187,
      "title": "How to do cutmix or mixup ?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 144567,
      "title": "Takes so log to \"save & Run All (commit)\"",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 144210,
      "title": "Further image augmentation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 143326,
      "title": "Padding for image augmentation",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 142136,
      "title": "Test Time Augmentation Question",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 135217,
      "title": "tf.data.Dataset.list_files() not working on TPU",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 143750,
      "title": "What is the optimal batch size?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 142953,
      "title": "Does anyone have any experience with Siamese networks? I'm having trouble structuring the data",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 137856,
      "title": "Model Deployment with TPUs?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 143340,
      "title": "Can we do preprocessing?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 141927,
      "title": "kernel stops after several epochs",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 142660,
      "title": "Add validation data to training data",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 142412,
      "title": "kaggle kernel with tpu log",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 140728,
      "title": "notebook requirement for this challenge",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 142098,
      "title": "Mixed precision",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 132867,
      "title": "Does anyone encounter TPU 15 idle time and notebooks stop?",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 142042,
      "title": "Error importing Kaggle dataset",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 142113,
      "title": "Data Pipeline with TensorFlow it to simple",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 140798,
      "title": "train images that are probably wrongly label",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 137429,
      "title": "How to import kaggle_datasets on local  kernel?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 141099,
      "title": "Class inconsistency",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 137983,
      "title": "Ok I get it... TPUs are awesome! So what are the main reasons they're not ubiquitous?",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 130272,
      "title": "Data balancing with TPU ?",
      "comment_count": 37,
      "views": 0,
      "votes": 4
    },
    {
      "id": 140567,
      "title": "XLA compilation error with custom layer",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 138613,
      "title": "interesting noise in test set",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 139287,
      "title": "DataLossError",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 138947,
      "title": "Does basic data augmentation really improve accuracy ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 133181,
      "title": "[placeholder] tpu starter-kit",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 138653,
      "title": "Should we be normalising inputs?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 137798,
      "title": "TPU - Gradient accumulation",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 138333,
      "title": "When using TPU, it is in the state of \"Draft Session Starting\" for a long time",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 137935,
      "title": "Notebooks that gave 90+ score now give a score of around 55; Edit: issue resolved; user error",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 131876,
      "title": "Model.fit API class_weight works in GPU but fail in TPU",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 137445,
      "title": "Use TPUs on private dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 137110,
      "title": "A fastai sub-competition: (Focused on fastai2)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 137358,
      "title": "Max commit time for TPU",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 134701,
      "title": "External Data Should be Disallowed",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 134264,
      "title": "batch implementation of more data augmentations",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 135471,
      "title": "Is there any suitable network architecture for TPU?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 135059,
      "title": "NASNetLarge fails to improve validation accuracy.",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 131930,
      "title": "Worth seeing Kernels and Posts?",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 134564,
      "title": "How do I use TensorBoard with TPU here?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 133296,
      "title": "Oversample the training dataset",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 134557,
      "title": "Perspective transformation in Tensorflow",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 133168,
      "title": "Make Chris Deotte's data augmentation faster",
      "comment_count": 19,
      "views": 0,
      "votes": 15
    },
    {
      "id": 133185,
      "title": "perspective transform using OpenCV with tf?",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 132986,
      "title": "GridMask data augmentation on GPU/TPU",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 133866,
      "title": "does the commit share config of the notebook",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 133083,
      "title": "Advanced augmentation with TPUs",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 133594,
      "title": "Commit waiting too long! Anybody knows where the problem is?",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 133810,
      "title": "Validation Accuracy higher than training accuracy",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 129962,
      "title": "What is your Best Score with a Single Model??",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 133391,
      "title": "After using TPU 3 hours, notebook stops...",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 133590,
      "title": "Submission error",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 133565,
      "title": "why the tpu valacc is low but chang to gpu seems ok ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 130378,
      "title": "Can't load weights for NASNetLarge model",
      "comment_count": 26,
      "views": 0,
      "votes": 3
    },
    {
      "id": 133214,
      "title": "What is the charge for using tpu here",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 132732,
      "title": "Does anyone know what area kaggle notebooks run in?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 130199,
      "title": "How does TensorFlow use multiple devices?",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 132215,
      "title": "Keras callback model checkpoint",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 132127,
      "title": "Augmentation question",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 132601,
      "title": "Does during committing my model is trained again?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 132471,
      "title": "_curl upload error 503?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 132148,
      "title": "Flower dataset in jpeg format",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 132286,
      "title": "Modify trainable makes parameter miss?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 130054,
      "title": "Visualizations ?",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 132066,
      "title": "Data Augmentation with external libraries",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 131699,
      "title": "Augmentation and number of training samples",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 132282,
      "title": "Error! While commit",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 132020,
      "title": "optimizer.apply_gradient not work on tpu",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 131895,
      "title": "local VM (GCP) memory gets 100% usage during hyperparmeter searching",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 130996,
      "title": "TPU Tutorial",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 131937,
      "title": "I am  submitting after successful and complete commit",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 130717,
      "title": "Errors while trying to use TPUs",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 130704,
      "title": "104 Flowers: Garden of Eden",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 131302,
      "title": "Failed to save draft",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 130850,
      "title": "Error on Commit",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 130703,
      "title": "Hint (for custom training loop) - Try to use drop_remainder when you change BATCH_SIZE",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 130638,
      "title": "Unable to start new kernel",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 130734,
      "title": "Pseudo-Label",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 130422,
      "title": "Custom training with TPU",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 130284,
      "title": "How to do weighted ensemble ?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 130325,
      "title": "Does TPU consume weekly quota? ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 130017,
      "title": "Keras in TPU?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 130215,
      "title": "TypeError: unsupported operand type(s) for *: 'int' and 'NoneType'",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 129815,
      "title": "Hey, where did the data go?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 129977,
      "title": "How can I use TPU without DataGenerator or Dataset?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 129855,
      "title": "How to run Text Models on TPUs?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 129919,
      "title": "TPU Accelerated Data Science",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 129842,
      "title": "An intro to understand the power of TPU..",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 129924,
      "title": "Is the TPU usage time limit different from the GPU usage time limit?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 129890,
      "title": "Can we use PyTorch on Kaggle TPUs?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}