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Logistic regression explained — Apache MXNet do...
Logistic regression explained Logistic Regression is one of the first models newcomers to Deep Learning are implement...mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/logistic_regression_ex...Registered: Fri Jul 25 09:48:40 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 183.6K bytes - Viewed (0) -
Learning Rate Schedules — Apache MXNet document...
Learning Rate Schedules Setting the learning rate for stochastic gradient descent (SGD) is crucially important when t...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/learning_rates...Registered: Fri Jul 25 09:51:40 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 202.3K bytes - Viewed (0) -
Custom Loss Blocks — Apache MXNet documentation
Custom Loss Blocks All neural networks need a loss function for training. A loss function is a quantitive measure of ...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/custom-loss.htmlRegistered: Fri Jul 25 09:51:22 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 191K bytes - Viewed (0) -
Image similarity search with InfoGAN — Apache M...
Image similarity search with InfoGAN This notebook shows how to implement an InfoGAN based on Gluon. InfoGAN is an ex...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/image/info_gan.htmlRegistered: Fri Jul 25 09:51:59 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 284.1K bytes - Viewed (0) -
Advanced Learning Rate Schedules — Apache MXNet...
Advanced Learning Rate Schedules Given the importance of learning rate and the learning rate schedule for training ne...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/learning_rates...Registered: Fri Jul 25 09:50:33 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 203.8K bytes - Viewed (0) -
MXNet Gluon Fit API — Apache MXNet documentation
MXNet Gluon Fit API In this tutorial, you will learn how to use the Gluon Fit API which is the easiest way to train d...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/fit_api_tutori...Registered: Fri Jul 25 09:53:26 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 184.9K bytes - Viewed (0) -
Run on an EC2 Instance — Apache MXNet documenta...
Run on an EC2 Instance This chapter shows, how to allocate a CPU/GPU instance in AWS and how to setup the Deep Learni...mxnet.apache.org/versions/master/api/python/docs/tutorials/deploy/run-on-aws/use_ec2.htmlRegistered: Fri Jul 25 09:53:41 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 146.4K bytes - Viewed (0) -
Use TVM — Apache MXNet documentation
Use TVM Contributions welcome! Did this page help you? Yes No Thanks for your feedback! Previous Improving accuracy w...mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/backend/tvm.htmlRegistered: Fri Jul 25 09:53:45 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 143.5K bytes - Viewed (0) -
NDArray — Apache MXNet documentation
NDArray Introduction to NDArray - Part 1 01-ndarray-intro.html Learn how to manipulate data with MXNet’s multi-dimens...mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/index.htmlRegistered: Fri Jul 25 09:53:00 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 146.8K bytes - Viewed (0) -
The N-dimensional array (ndarray) — Apache MXNe...
The N-dimensional array ( ndarray ) An ndarray is a (usually fixed-size) multidimensional container of items of the s...mxnet.apache.org/versions/master/api/python/docs/api/np/arrays.ndarray.htmlRegistered: Fri Jul 25 09:55:45 UTC 2025 - Last Modified: Thu Jan 05 05:04:49 UTC 2023 - 188.6K bytes - Viewed (0)