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docs/build/html/python/nn/_autosummary/mlx.nn.ALiBi.html
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<title>mlx.nn.ALiBi &#8212; MLX 0.24.2 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool1d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool2d.html
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<meta charset="utf-8" />
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool3d.html
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.BatchNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.Conv3d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.ConvTranspose2d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.ConvTranspose3d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Dropout.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Dropout3d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.ELU.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.Embedding.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.GRU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.GroupNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.HardTanh.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Hardswish.html
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docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.LayerNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.LeakyReLU.html
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.linalg.eigh.html">mlx.core.linalg.eigh</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.Linear.html
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<meta charset="utf-8" />
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.LogSigmoid.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
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docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool1d.html
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool2d.html
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<meta charset="utf-8" />
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool3d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply_to_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.filter_and_map.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.freeze.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.leaf_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.named_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.parameters.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.set_dtype.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.state.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.unfreeze.html
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docs/build/html/python/nn/_autosummary/mlx.nn.MultiHeadAttention.html
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docs/build/html/python/nn/_autosummary/mlx.nn.PReLU.html
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<meta charset="utf-8" />
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.linalg.eigh.html">mlx.core.linalg.eigh</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.QuantizedEmbedding.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.bitwise_or.html">mlx.core.bitwise_or</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.linalg.eigh.html">mlx.core.linalg.eigh</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.QuantizedLinear.html
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
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docs/build/html/python/nn/_autosummary/mlx.nn.RMSNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.RNN.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.ReLU.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.ReLU6.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.SELU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Sequential.html
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docs/build/html/python/nn/_autosummary/mlx.nn.SiLU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.SinusoidalPositionalEncoding.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Softmax.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Softmin.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Softshrink.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Softsign.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Step.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Tanh.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Upsample.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.constant.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_uniform.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.he_normal.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.he_uniform.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.uniform.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.celu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.hard_shrink.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.hard_tanh.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.hardswish.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.leaky_relu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_sigmoid.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_softmax.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.binary_cross_entropy.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.cosine_similarity_loss.html
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<meta charset="utf-8" />
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