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Keras with MobilenetV2 for Deep Learning: Difference between revisions
Keras with MobilenetV2 for Deep Learning (view source)
Revision as of 10:51, 10 June 2020
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<seo title="Keras with MobilenetV2 for Deep Learning | MobilenetV2 | RidgeRun" titlemode="replace" keywords="GStreamer, Nvidia, Jetson TX2 EVM, Jetson TX2, CUDA, OpenCV,JetPack, TensorFlow, R2Inference, GstInference, GStreamer AI inference, AI, Artificial Intelligence, Inference, AI Inference, NVIDIA Transfer Learning, deep stream, Tensorfile, Keras, MobilenetV2 for Deep Learning,TensorFlow, MobileNetV2 model" description="Learn about how to create models using MobileNetV2 with Keras in Ubuntu 16.04 for PC"></seo> | <seo title="Keras with MobilenetV2 for Deep Learning | MobilenetV2 | RidgeRun" titlemode="replace" keywords="GStreamer, Nvidia, Jetson TX2 EVM, Jetson TX2, CUDA, OpenCV,JetPack, TensorFlow, R2Inference, GstInference, GStreamer AI inference, AI, Artificial Intelligence, Inference, AI Inference, NVIDIA Transfer Learning, deep stream, Tensorfile, Keras, MobilenetV2 for Deep Learning,TensorFlow, MobileNetV2 model" description="Learn about how to create models using MobileNetV2 with Keras in Ubuntu 16.04 for PC"></seo> | ||
<table> | <table> | ||
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pip3 install tensorflow | pip3 install tensorflow | ||
<br> | |||
<br> | |||
{{Ambox | |||
|type=notice | |||
|small=left | |||
|issue='''TensorFlow reserves all GPU memory available even though it doesn't need it. To change this and configure it to reserve only the necessary memory you should write the following before creating the model:''' | |||
|style=width: auto; margin-right: 0px; | |||
|textstyle=width: auto; | |||
}} | |||
import tensorflow as tf | import tensorflow as tf | ||
config = tf.ConfigProto() | config = tf.ConfigProto() | ||