|
RAR-files |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.rar |
15,000,000 |
B0B8479D |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r00 |
15,000,000 |
F6789784 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r01 |
15,000,000 |
2263B404 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r02 |
15,000,000 |
FF51F12F |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r03 |
15,000,000 |
0CD1A2B2 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r04 |
15,000,000 |
3558D864 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r05 |
15,000,000 |
9AC74BDB |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r06 |
15,000,000 |
55895698 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r07 |
15,000,000 |
1C67BF21 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r08 |
15,000,000 |
14CCAA59 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r09 |
15,000,000 |
6FA5F605 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r10 |
15,000,000 |
96A81B4F |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r11 |
15,000,000 |
66CD4058 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r12 |
15,000,000 |
87561308 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r13 |
15,000,000 |
8677626B |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r14 |
15,000,000 |
39BA9F1F |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r15 |
15,000,000 |
C9B81CF5 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r16 |
15,000,000 |
1AF794B7 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r17 |
15,000,000 |
015C3F25 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r18 |
15,000,000 |
A14FEB0F |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r19 |
15,000,000 |
A6CA3D27 |
| rebar-deploying.tensorflow.models.to.aws.azure.and.the.gcp.r20 |
6,409,967 |
597B5976 |
|
| Total size: |
321,409,967 |
|
|
| Archived
files |
|
01 - Course Overview\01 - Course Overview.mp4
[5045f548879b4bde]
|
4,843,343 |
12A51D5D |
|
02 - Using TensorFlow Serving \02 - Module Overview.mp4
[124c27b598f659bb]
|
2,474,886 |
74CDB65C |
|
02 - Using TensorFlow Serving \03 - Prerequisites and Course Overview.mp4
[5da0373b4c196404]
|
4,010,627 |
D071DDDB |
|
02 - Using TensorFlow Serving \04 - The Machine Learning Workflow - Local Serving.mp4
[3ac59887272291c8]
|
4,488,906 |
9513B174 |
|
02 - Using TensorFlow Serving \05 - Demo - Exploring the Churn Prediction Dataset.mp4
[6e86e34f116c4dba]
|
9,160,963 |
6EC87754 |
|
02 - Using TensorFlow Serving \06 - Demo - Training and the Experiment Function.mp4
[c222edcaf3f316d6]
|
9,352,371 |
F47BBA6B |
|
02 - Using TensorFlow Serving \07 - The Saved Model .mp4
[70876bfab1979cb3]
|
2,861,598 |
6FB8F3E1 |
|
02 - Using TensorFlow Serving \08 - The TensorFlow Model Server.mp4
[c58cc6d8d99bfd7f]
|
2,363,650 |
A48A6AB6 |
|
02 - Using TensorFlow Serving \09 - gRPC and Protocol Buffers.mp4
[86e3681ec5148355]
|
3,845,151 |
1A162F05 |
|
02 - Using TensorFlow Serving \10 - Demo - Setting up the Azure VM.mp4
[ac7286752427c1ee]
|
7,700,128 |
1790AB33 |
|
02 - Using TensorFlow Serving \11 - Demo - Installing TensorFlow, gRPC, Serving APIs and the Model Server.mp4
[596c30cbb9158802]
|
8,877,744 |
827E1C70 |
|
02 - Using TensorFlow Serving \12 - Demo - Deploying and Hosting the MNIST Classification Model .mp4
[3bd4c46d28de5208]
|
10,013,713 |
BEA2ED24 |
|
02 - Using TensorFlow Serving \13 - Demo - Setting up the Churn Model.mp4
[59b2f96717246fd6]
|
8,090,176 |
50636EE7 |
|
02 - Using TensorFlow Serving \14 - Demo - Training and Saving the Model.mp4
[9a7e62b0b407e7e5]
|
12,219,566 |
8EB30D70 |
|
02 - Using TensorFlow Serving \15 - Demo - Making Predictions from a Saved Model.mp4
[45aca468f9ca08af]
|
17,270,406 |
F2EEFFF9 |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\16 - Module Overview.mp4
[d9da0217daed20e0]
|
2,476,278 |
78E364CC |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\17 - Azure ML IaaS and PaaS Options.mp4
[494ef7d584acdb31]
|
8,793,608 |
1B09EA82 |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\18 - Containers and VMs.mp4
[aac677d0c9784749]
|
5,527,624 |
4F6D787A |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\19 - Demo - Docker CE Install.mp4
[a6a8b1a4eaaaee29]
|
6,328,630 |
E3B5D3F6 |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\20 - Demo - Building the Docker Image.mp4
[cbccdc1e0a038f9b]
|
11,094,284 |
739663B4 |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\21 - Demo - Running a Docker Container for Predictions.mp4
[910f04a07407d617]
|
4,497,004 |
494948DA |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\22 - Demo - Registering the Image with Docker Hub.mp4
[f58f0cee445f7fbf]
|
7,156,137 |
33BC792F |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\23 - Demo - Running Docker Using the Docker Hub Image.mp4
[a42a6821b2c3ca88]
|
6,202,860 |
E81B95AE |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure\24 - Demo - Making Predictions from a Saved Model Using a Docker Container.mp4
[2a13bf35e3764d0a]
|
6,717,276 |
8FC65C82 |
|
04 - Deploying TensorFlow Models on Amazon AWS\25 - Module Overview.mp4
[e6e827dbf86a5fe4]
|
1,612,615 |
AF2E4A39 |
|
04 - Deploying TensorFlow Models on Amazon AWS\26 - The Machine Learning Workflow - SageMaker.mp4
[62a73a59fb82637b]
|
5,854,088 |
EF6A5D86 |
|
04 - Deploying TensorFlow Models on Amazon AWS\27 - Training the Model.mp4
[fe9bfa3c70ea4c63]
|
3,247,849 |
781F96F9 |
|
04 - Deploying TensorFlow Models on Amazon AWS\28 - Deploying the Model.mp4
[d17b69a24a60e2ee]
|
4,685,800 |
F3E8D40B |
|
04 - Deploying TensorFlow Models on Amazon AWS\29 - Training and Inference Code Interface.mp4
[922a8f59d15ef90f]
|
2,707,098 |
3F89775F |
|
04 - Deploying TensorFlow Models on Amazon AWS\30 - Demo - Setting up an S3 Bucket.mp4
[7c81883442527b69]
|
5,232,599 |
E6678AEE |
|
04 - Deploying TensorFlow Models on Amazon AWS\31 - Demo - Setting up a Notebook Instance.mp4
[bdd2e2a232ad0904]
|
5,626,572 |
5D4BDFBE |
|
04 - Deploying TensorFlow Models on Amazon AWS\32 - Demo - Data Preparation.mp4
[77d44b934049143a]
|
6,411,412 |
F28CD51C |
|
04 - Deploying TensorFlow Models on Amazon AWS\33 - Demo - Setting up the TensorFlow Model.mp4
[ed481fae2756c4d5]
|
7,656,252 |
0B34A5B1 |
|
04 - Deploying TensorFlow Models on Amazon AWS\34 - Demo - Training and Deploying the Model.mp4
[4a2416cb80c53a2b]
|
9,066,878 |
B6BA9158 |
|
04 - Deploying TensorFlow Models on Amazon AWS\35 - Demo - Models and Endpoints.mp4
[ecb0e38083ae5a04]
|
5,838,383 |
04D648C0 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\36 - Module Overview.mp4
[746cc15329fdcaef]
|
2,521,367 |
E5839452 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\37 - Cloud ML Engine vs. SageMaker.mp4
[6dbd7ae0ca884737]
|
7,418,730 |
FF061D1D |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\38 - The Machine Learning Workflow - Cloud ML Engine.mp4
[6b8f6d20e9fc6fd8]
|
7,215,269 |
28986687 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\39 - Training the Model.mp4
[dd2782d45f6aa5d4]
|
6,754,575 |
7C20B09A |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\40 - Deploying the Model.mp4
[9fa6299afad11dd5]
|
2,281,856 |
DE7114CB |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\41 - Demo - Connecting to Datalab.mp4
[52d623bc0ba7df0c]
|
10,190,179 |
38EFEEAE |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\42 - Demo - Creating a GCS Bucket.mp4
[44ccfc2d7b996240]
|
3,359,479 |
E25B7FBB |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\43 - Demo - Data Preparation.mp4
[a0d85ed82e8aa306]
|
6,774,984 |
1AE78340 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\44 - Demo - Setting up Bucket Permissions.mp4
[1fc84e95cbfacdae]
|
10,286,714 |
C2F54173 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\45 - Demo - Python Package Contents.mp4
[b434bd356c96088c]
|
11,294,225 |
1318F0D5 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\46 - Demo - Local Training and Prediction.mp4
[41224d7476a3bf99]
|
7,054,615 |
1ED214AA |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\47 - Demo - Distributed Training and Deployment.mp4
[c25e0395e6fa81af]
|
10,847,646 |
D20CFF59 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\48 - Demo - Making Predictions Using Cloud ML Endpoints.mp4
[2aab0d5605dee43a]
|
4,820,117 |
3E21C2BE |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform\49 - Summary and Further Study.mp4
[e79f9f1531e7f6e2]
|
2,637,641 |
3DF204F0 |
|
tensorflow-aws-azure-gcp-deploying-models.zip |
3,635,827 |
3E23B1EB |
|
01 - Course Overview |
0 |
00000000 |
|
02 - Using TensorFlow Serving |
0 |
00000000 |
|
03 - Containerizing TensorFlow Models Using Docker on Microsoft Azure |
0 |
00000000 |
|
04 - Deploying TensorFlow Models on Amazon AWS |
0 |
00000000 |
|
05 - Deploying TensorFlow Models on the Google Cloud Platform |
0 |
00000000 |
|
| Total size: |
321,399,699 |
|
|
