/explore
|
You are here 
|
fastml.com | ||
| | | | |
aimatters.wordpress.com
|
|
| | | | | A few weeks ago, it was announced that Keras would be getting official Google support and would become part of the TensorFlow machine learning library. Keras is a collectionof high-level APIs in Python for creating and training neural networks, using either Theano or TensorFlow as the underlying engine. Given my previous posts on implementing an... | |
| | | | |
www.paepper.com
|
|
| | | | | Recent advances in training deep neural networks have led to a whole bunch of impressive machine learning models which are able to tackle a very diverse range of tasks. When you are developing such a model, one of the notable downsides is that it is considered a "black-box" approach in the sense that your model learns from data you feed it, but you don't really know what is going on inside the model. | |
| | | | |
r2rt.com
|
|
| | | | | [AI summary] This technical tutorial provides a step-by-step guide to building Recurrent Neural Networks in Tensorflow that can handle variable-length input sequences, covering techniques such as zero-padding, dynamic_rnn usage, loss masking for sequence-to-sequence tasks, and data bucketing to optimize training speed. | |
| | | | |
teddykoker.com
|
|
| | | In this post we will be using a method known as transfer learning in order to detect metastatic cancer in patches of images from digital pathology scans. | ||
