Search: "training"
Manage custom models - Intelligent Speech Interaction Documentation
. On the speech recognition customization platform, you can create a model based on a basic model and upload a training corpus ...
Use the speech recognition customization platform - Intelligent Speech Interaction Documentation
training corpus on the GUI. By training the model based on its training corpus, you can effectively improve the speech recognition rate ...
Implement image classification by TensorFlow - Machine Learning Platform for AI Documentation
data is divided into two parts: 50,000 images are used for training and 10,000 for testing. The 50,000 training images are ...
Heterogeneous Computing: Dominated by GPU, FPGA, and ASIC Chips blog
comprehensive line of heterogeneous products, meeting the needs of scenarios such as artificial intelligence training and reasoning, image ...
Alibaba Cloud DFSMN Breaks the Barriers of Speech Recognition Accuracy with MaxCompute blog
computing resources for model training and testing. In addition, the bidirectional RNN-based speech acoustic model may cause a ...
Alibaba Cloud Arena: An Open-Source Tool for Deep Learning blog
Kubernetes. It is an end-to-end solution that supports Jupyter Hub development, TFJob model training to TF-serving, and Seldon ...
Lessons Learned at the 2017 CIKM AnalytiCup Machine Learning Competition blog
were provided with standard datasets for evaluation. There were three datasets: the first was training data for training, the ...
Create custom models in the console - Intelligent Speech Interaction Documentation
Prepare a training corpusPrepare a training corpus according to the calling limits and optimization suggestions. For more ...
Interspeech 2017 Far-field Speech Recognition Technology blog
suitable for the modelling. As a simple RNN is constrained by gradient explosion and gradient dissipation, the training will be ...
Man VS Machine: The Secrets Behind Alibaba Cloud’s Speech Recognition Technology Forums
speech team came up with a original solution to the BLSTM latency problem in training efficiency and actual deployment. They were the ...