This is a binary image classification project using Convolutional Neural Networks and TensorFlow API (no Keras) on Python 3. Read all story in Turkish. It is a ready-to-run code. No MNIST or CIFAR-10.
// you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 #include ...
TensorFlow had a steep learning curve at first because it had a static computational graph. Users would first define the graph, and then they could execute it. But in TensorFlow 2.0, eager execution ...
thus the MS image has the preferable tensor property, which can be more actually and suitably modeled as an order-3 tensor. To fully exploit the tensor-based properties of MS and the graph-based ...
Abstract: Road graph extraction from remote sensing images is essential in navigation and urban planning. However, shadows and occlusions in these images frequently disrupt the continuity of road ...
By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...
Friday, December 27, 2024: Here's a dish you CAN'T sink your teeth into. This image, taken on Dec. 18, shows NASA's new Deep Space Station 23 reflector dish as it is lowered into place as the ...
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