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Drop tensorboard.dev usage.
PiperOrigin-RevId: 515194153
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‎site/en/tutorials/generative/pix2pix.ipynb

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@@ -1180,7 +1180,8 @@
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"\n",
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"If you work on a local machine, you would launch a separate TensorBoard process. When working in a notebook, launch the viewer before starting the training to monitor with TensorBoard.\n",
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"\n",
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"To launch the viewer paste the following into a code-cell:"
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"Launch the TensorBoard viewer (Sorry, this doesn't\n",
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"display on tensorflow.org):"
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]
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},
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{
@@ -1198,72 +1199,30 @@
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Pe0-8Bzg22ox"
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},
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"source": [
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"Finally, run the training loop:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "a1zZmKmvOH85"
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"id": "fyjixlMlBybN"
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},
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"outputs": [],
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"source": [
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"fit(train_dataset, test_dataset, steps=40000)"
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"You can view the [results of a previous run](https://tensorboard.dev/experiment/lZ0C6FONROaUMfjYkVyJqw) of this notebook on [TensorBoard.dev](https://tensorboard.dev/)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "oeq9sByu86-B"
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},
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"source": [
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"If you want to share the TensorBoard results _publicly_, you can upload the logs to [TensorBoard.dev](https://tensorboard.dev/) by copying the following into a code-cell.\n",
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"\n",
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"Note: This requires a Google account.\n",
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"\n",
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"```\n",
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"!tensorboard dev upload --logdir {log_dir}\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "l-kT7WHRKz-E"
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},
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"source": [
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"Caution: This command does not terminate. It's designed to continuously upload the results of long-running experiments. Once your data is uploaded you need to stop it using the \"interrupt execution\" option in your notebook tool."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "-lGhS_LfwQoL"
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"id": "Pe0-8Bzg22ox"
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},
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"source": [
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"You can view the [results of a previous run](https://tensorboard.dev/experiment/lZ0C6FONROaUMfjYkVyJqw) of this notebook on [TensorBoard.dev](https://tensorboard.dev/).\n",
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"\n",
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"[TensorBoard.dev](https://tensorboard.dev){:.external} is a managed experience for hosting, tracking, and sharing ML experiments with everyone.\n",
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"\n",
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"It can also included inline using an `<iframe>`:"
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"Finally, run the training loop:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "8IS4c93guQ8E"
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"id": "a1zZmKmvOH85"
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},
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"outputs": [],
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"source": [
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"display.IFrame(\n",
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" src=\"https://tensorboard.dev/experiment/lZ0C6FONROaUMfjYkVyJqw\",\n",
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" width=\"100%\",\n",
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" height=\"1000px\")"
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"fit(train_dataset, test_dataset, steps=40000)"
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]
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},
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{
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"metadata": {
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"accelerator": "GPU",
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"colab": {
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"collapsed_sections": [],
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"name": "pix2pix.ipynb",
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"provenance": [],
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"toc_visible": true
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},
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"kernelspec": {

‎site/en/tutorials/keras/overfit_and_underfit.ipynb

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@@ -847,7 +847,8 @@
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"\n",
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"These models all wrote TensorBoard logs during training.\n",
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"\n",
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"Open an embedded TensorBoard viewer inside a notebook:"
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"Open an embedded TensorBoard viewer inside a notebook (Sorry, this doesn't\n",
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"display on tensorflow.org):"
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]
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},
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{
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},
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"outputs": [],
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"source": [
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"#docs_infra: no_execute\n",
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"\n",
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"# Load the TensorBoard notebook extension\n",
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"%load_ext tensorboard\n",
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"\n",
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "fjqx3bywDPjf"
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},
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"source": [
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"You can view the [results of a previous run](https://tensorboard.dev/experiment/vW7jmmF9TmKmy3rbheMQpw/#scalars&_smoothingWeight=0.97) of this notebook on [TensorBoard.dev](https://tensorboard.dev/).\n",
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"\n",
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"TensorBoard.dev is a managed experience for hosting, tracking, and sharing ML experiments with everyone.\n",
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"\n",
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"It's also included in an `<iframe>` for convenience:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "dX5fcgrADwym"
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},
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"outputs": [],
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"source": [
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"display.IFrame(\n",
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" src=\"https://tensorboard.dev/experiment/vW7jmmF9TmKmy3rbheMQpw/#scalars&_smoothingWeight=0.97\",\n",
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" width=\"100%\", height=\"800px\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "RDQDBKYZBXF_"
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"id": "HkIIzE5rBBY_"
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},
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"source": [
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"If you want to share TensorBoard results you can upload the logs to [TensorBoard.dev](https://tensorboard.dev/) by copying the following into a code-cell.\n",
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"\n",
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"Note: This step requires a Google account.\n",
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"\n",
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"```\n",
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"!tensorboard dev upload --logdir {logdir}/sizes\n",
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"```\n",
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"\n",
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"Caution: This command does not terminate. It's designed to continuously upload the results of long-running experiments. Once your data is uploaded you need to stop it using the \"interrupt execution\" option in your notebook tool."
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"You can view the [results of a previous run](https://tensorboard.dev/experiment/vW7jmmF9TmKmy3rbheMQpw/#scalars&_smoothingWeight=0.97) of this notebook on [TensorBoard.dev](https://tensorboard.dev/)."
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]
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},
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{
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"\n",
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"These models also recorded TensorBoard logs.\n",
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"\n",
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"To open an embedded tensorboard viewer inside a notebook, copy the following into a code-cell:\n",
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"\n",
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"```\n",
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"%tensorboard --logdir {logdir}/regularizers\n",
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"```"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "KX3Voac-FEO4"
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},
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"source": [
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"You can view the [results of a previous run](https://tensorboard.dev/experiment/fGInKDo8TXes1z7HQku9mw/#scalars&_smoothingWeight=0.97) of this notebook on [TensorBoard.dev](https://tensorboard.dev/).\n",
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"\n",
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"It's also included in an `<iframe>` for convenience:"
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"To open an embedded run the following into a code-cell (Sorry, this doesn't display on tensorflow.org):"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "doMtyYoqFEO5"
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"id": "Op4vLqVWBK_y"
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},
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"outputs": [],
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"source": [
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"display.IFrame(\n",
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" src=\"https://tensorboard.dev/experiment/fGInKDo8TXes1z7HQku9mw/#scalars&_smoothingWeight=0.97\",\n",
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" width = \"100%\",\n",
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" height=\"800px\")\n"
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"%tensorboard --logdir {logdir}/regularizers"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "mds5RXGjIcSu"
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"id": "_rx5b294BXBd"
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},
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"source": [
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"This was uploaded with:\n",
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"\n",
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"```\n",
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"!tensorboard dev upload --logdir {logdir}/regularizers\n",
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"```"
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"You can view the [results of a previous run](https://tensorboard.dev/experiment/vW7jmmF9TmKmy3rbheMQpw/#scalars&_smoothingWeight=0.97) of this notebook on [TensorBoard.dev](https://tensorboard.dev/)."
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]
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},
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{
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"metadata": {
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"accelerator": "GPU",
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"colab": {
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"collapsed_sections": [],
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"name": "overfit_and_underfit.ipynb",
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"provenance": [],
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"toc_visible": true
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},
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"kernelspec": {

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