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docs/build/html/python/nn/_autosummary/mlx.nn.ALiBi.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" />
<title>mlx.nn.ALiBi &#8212; MLX 0.24.2 documentation</title>
<title>mlx.nn.ALiBi &#8212; MLX 0.25.0 documentation</title>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool1d.html
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<meta charset="utf-8" />
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<title>mlx.nn.AvgPool1d &#8212; MLX 0.25.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool2d.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" />
<title>mlx.nn.AvgPool2d &#8212; MLX 0.24.2 documentation</title>
<title>mlx.nn.AvgPool2d &#8212; MLX 0.25.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool3d.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.BatchNorm.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.CELU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Conv1d.html
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<title>mlx.nn.Conv1d &#8212; MLX 0.25.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.ConvTranspose1d.html
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.ELU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Embedding.html
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docs/build/html/python/nn/_autosummary/mlx.nn.GELU.html
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<meta charset="utf-8" />
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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.HardShrink.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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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html
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<title>mlx.nn.InstanceNorm &#8212; MLX 0.25.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.LSTM.html
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<meta charset="utf-8" />
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<title>mlx.nn.LSTM &#8212; MLX 0.25.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.LayerNorm.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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<title>mlx.nn.LayerNorm &#8212; MLX 0.25.0 documentation</title>
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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" />
<title>mlx.nn.LeakyReLU &#8212; MLX 0.24.2 documentation</title>
<title>mlx.nn.LeakyReLU &#8212; MLX 0.25.0 documentation</title>
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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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docs/build/html/python/nn/_autosummary/mlx.nn.LogSigmoid.html
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docs/build/html/python/nn/_autosummary/mlx.nn.LogSoftmax.html
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docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool1d.html
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<meta charset="utf-8" />
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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_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.load_weights.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.Module.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.save_weights.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.train.html
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<title>mlx.nn.Module.train &#8212; MLX 0.25.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.trainable_parameters.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.training.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.unfreeze.html
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
docs/build/html/python/nn/_autosummary/mlx.nn.Module.update.html
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<title>mlx.nn.Module.update &#8212; MLX 0.25.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.update_modules.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 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.QuantizedLinear.html
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docs/build/html/python/nn/_autosummary/mlx.nn.RMSNorm.html
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<meta charset="utf-8" />
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<title>mlx.nn.RMSNorm &#8212; MLX 0.25.0 documentation</title>
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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" />
<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.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.SiLU.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.Sigmoid.html
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docs/build/html/python/nn/_autosummary/mlx.nn.SinusoidalPositionalEncoding.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.Softmax.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.Softmin.html
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<meta charset="utf-8" />
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docs/build/html/python/nn/_autosummary/mlx.nn.Softplus.html
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<meta charset="utf-8" />
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
docs/build/html/python/nn/_autosummary/mlx.nn.Softshrink.html
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
docs/build/html/python/nn/_autosummary/mlx.nn.Softsign.html
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<meta charset="utf-8" />
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<title>mlx.nn.Softsign &#8212; MLX 0.25.0 documentation</title>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
docs/build/html/python/nn/_autosummary/mlx.nn.Step.html
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<meta charset="utf-8" />
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
docs/build/html/python/nn/_autosummary/mlx.nn.Tanh.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 has-children"><a class="reference internal" href="../../optimizers/schedulers.html">Schedulers</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
docs/build/html/python/nn/_autosummary/mlx.nn.Transformer.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_normal.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_uniform.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.identity.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.normal.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.uniform.html
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<meta charset="utf-8" />
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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.elu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_approx.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_fast_approx.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.glu.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_softmax.html
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