Hands-On Deep Learning Architectures with Python by Yuxi (Hayden) Liu

Hands-On Deep Learning Architectures with Python by Yuxi (Hayden) Liu

Author:Yuxi (Hayden) Liu [Yuxi (Hayden) Liu]
Language: eng
Format: epub
Tags: COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM042000 - COMPUTERS / Natural Language Processing, COM044000 - COMPUTERS / Neural Networks
Publisher: Packt
Published: 2019-04-30T19:55:04+00:00


_, lossT, accT = sess.run([modelGraph.train, modelGraph.loss, modelGraph.avgAccuracy],

feed_dict = {modelGraph.x: batchX, modelGraph.y: batchY, modelGraph.keepProb: modelGraph.dropOut})

print('Epoch: '+str(epoch)+' Minibatch_Loss: '+"{:.6f}".format(lossT)+' Train_acc: '+"{:.5f}".format(accT)+"\n")

if epoch % 10 == 0:

saver.save(sess, modelGraph.savePath)

The next section will deal with the task of object detection with CNNs. We will learn about some successful object detection architectures, and also implement object detection with TensorFlow.



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