.. _sphx_glr_auto_examples_advanced:
6. Avanced topics
-------------------
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_using_ai4water_datasets_thumb.png
:alt: 1. ai4water datasts
:ref:`sphx_glr_auto_examples_advanced_using_ai4water_datasets.py`
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1. ai4water datasts
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_working_with_large_data_thumb.png
:alt: 2. working with large data
:ref:`sphx_glr_auto_examples_advanced_working_with_large_data.py`
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2. working with large data
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_multi_output_nn_thumb.png
:alt: 3. multi-output neural network
:ref:`sphx_glr_auto_examples_advanced_multi_output_nn.py`
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3. multi-output neural network
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_multi_input_nn_thumb.png
:alt: 4. multi-input neural network
:ref:`sphx_glr_auto_examples_advanced_multi_input_nn.py`
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4. multi-input neural network
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_using_conditional_rnn_thumb.png
:alt: 5. using conditional RNN
:ref:`sphx_glr_auto_examples_advanced_using_conditional_rnn.py`
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5. using conditional RNN
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_quantile_regression_thumb.png
:alt: 6. Quantile regression
:ref:`sphx_glr_auto_examples_advanced_quantile_regression.py`
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6. Quantile regression
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_auto_encoders_thumb.png
:alt: 7. Autoencoders and variational autoencoders
:ref:`sphx_glr_auto_examples_advanced_auto_encoders.py`
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7. Autoencoders and variational autoencoders
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_using_third_party_models_thumb.png
:alt: 8. using third party models
:ref:`sphx_glr_auto_examples_advanced_using_third_party_models.py`
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8. using third party models
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_customizing_training_loop_tf_thumb.png
:alt: 9. customizing training loop in tensorflow
:ref:`sphx_glr_auto_examples_advanced_customizing_training_loop_tf.py`
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9. customizing training loop in tensorflow
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_customizing_training_loop_torch_thumb.png
:alt: 10. customizing training loop in pytorch
:ref:`sphx_glr_auto_examples_advanced_customizing_training_loop_torch.py`
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10. customizing training loop in pytorch
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_customizing_loss_fn_tf_thumb.png
:alt: 11. customizing loss function in tensorflow
:ref:`sphx_glr_auto_examples_advanced_customizing_loss_fn_tf.py`
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11. customizing loss function in tensorflow
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.. image:: /auto_examples/advanced/images/thumb/sphx_glr_customizing_loss_fn_torch_thumb.png
:alt: 12. customizing loss function in pytorch
:ref:`sphx_glr_auto_examples_advanced_customizing_loss_fn_torch.py`
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12. customizing loss function in pytorch
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.. toctree::
:hidden:
/auto_examples/advanced/using_ai4water_datasets
/auto_examples/advanced/working_with_large_data
/auto_examples/advanced/multi_output_nn
/auto_examples/advanced/multi_input_nn
/auto_examples/advanced/using_conditional_rnn
/auto_examples/advanced/quantile_regression
/auto_examples/advanced/auto_encoders
/auto_examples/advanced/using_third_party_models
/auto_examples/advanced/customizing_training_loop_tf
/auto_examples/advanced/customizing_training_loop_torch
/auto_examples/advanced/customizing_loss_fn_tf
/auto_examples/advanced/customizing_loss_fn_torch