ShowTime:(Colab + TF2)ShowTime

时间:2024-03-11 03:17:46
【文件属性】:

文件名称:ShowTime:(Colab + TF2)ShowTime

文件大小:30.46MB

文件格式:ZIP

更新时间:2024-03-11 03:17:46

JupyterNotebook

ShowTime:(Colab + TF2)ShowTime-源码 DP:코랩에서TF2.0-beta1发行케라스에에이데다룹니다。 ?가콜랩인가? 。스내이라..다들컨플루언스를다.. 。이란사용하렵니다。 ^^ DP-APP:已下载和已下载 TF2.0 beta1특징 渴望执行 渴望excution 대 한 에 기 본 개 념 은 를 참 조 한 다 즉,渴望执行이지같이(대화형으로!!)tf를사있다 x = [[2.]] m = tf.matmul(x, x) print(m) 이런가능하다 # 예전엔... # outputs = session.run(f(placeholder), feed_dict={placeholder: input}) # # TF2.0에서는 outputs = f(input) 。다많。 。다。 본팁기본팁: 려면보려면。。누른누른누른누른누른누른。 (주피터의shift + tab은동작하


【文件预览】:
ShowTime-master
----up_test5_autoencoder.ipynb(128KB)
----UP001-PProfile.ipynb(3.82MB)
----controllable_face_swap.ipynb(953KB)
----dp_app0001_Lucid_Style_Transfer.ipynb(3.46MB)
----detection2.ipynb(30KB)
----multi-stream.jpg(99KB)
----dp_app0003_DensePose.ipynb(1011KB)
----190409 eye contact test.avi(4.54MB)
----ny_taxi_pandas.ipynb(374KB)
----dp0002.ipynb(298KB)
----dp0006.ipynb(416KB)
----ext.jpg(122KB)
----dp_app0002_OpenPose.ipynb(3.69MB)
----up_test3.ipynb(120KB)
----up_test1.ipynb(232KB)
----UP001-AutoViz.ipynb(764KB)
----UP001_PreP.ipynb(3.87MB)
----dp0003.ipynb(806KB)
----up_test4.ipynb(239KB)
----tmpPatients.ipynb(83KB)
----UP001_Resample.ipynb(3.86MB)
----190409 gesture test.avi(6.16MB)
----EDA_steel.ipynb(2.63MB)
----AudioDrivenV0.ipynb(1.94MB)
----up_test2.ipynb(135KB)
----VidPlay_Sync.ipynb(975KB)
----dp0001.ipynb(84KB)
----ReadMe.md(2KB)
----NYear_VoiceClone.ipynb(7KB)
----densepose.jpg(391KB)
----hkim-driving-crop (convert-video-online.com).mp4(877KB)
----baby.png(874KB)
----UP001_TargetMap.ipynb(239KB)
----pose2.png(631KB)
----Keras_Efficient_GAN_Based_Anomaly_Detection_ipynb의_사본.ipynb(254KB)
----Plot_comparison.ipynb(28KB)
----hkim-driving-crop.mp4(968KB)
----VisionStat_1(TTS).ipynb(1KB)
----dp0004.ipynb(522KB)
----dp0005.ipynb(5.17MB)
----vaex_taxi_article.ipynb(398KB)
----2.png(172KB)

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