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| 0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url |
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| 01. Get Opportunities with LinkedIn.html |
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| 01. Instructor Intro.html |
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| 01. Instructor Introduction.html |
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| 01. Introduction.html |
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| 01. Prove Your Skills With GitHub.html |
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| 01. Welcome to Udacity.html |
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| 01. Why Network-exjEm9Paszk.ar.vtt |
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| 02. Calculating Model FLOPs Dense Layers.html |
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| 02. Course Overview.html |
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| 02. CPU Basics.html |
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| 02. IntelScho L1 02 The Intel Distribution Of OpenVINO Toolkit V2--pM9pLCnzJk.en.vtt |
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| 02. IntelScho L1 02 The Intel Distribution Of OpenVINO Toolkit V2--pM9pLCnzJk.mp4 |
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| 02. IntelScho L3 02 The Inference Engine-dZA4QGbDrs4.mp4 |
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| 02. IntelSchol L2 02 The Model Optimizer-Gyj7VPmGOVM.mp4 |
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| 02. Introduction.html |
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| 02. Introduction to FPGAs.html |
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| 02. L0 02 What Is AI At The Edge-4dro5ZHQLa4.en.vtt |
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| 02. ND131 C03 L03 A02 Introduction To Intel VTune V2-g-wZfDdBTrM.en.vtt |
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| 02. OpenCV Basics.html |
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| 02. Part 1 Hardware Proposal.html |
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| 02. Part 1 Project Setup.html |
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| 02. Project Set-Up.html |
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| 02. The Inference Engine.html |
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| 02. The Model Optimizer.html |
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| 02. The OpenVINO™ Toolkit.html |
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| 02. Use Your Story to Stand Out.html |
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| 02. Welcome to the Nanodegree Program Experience.html |
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| 02. What is AI at the Edge.html |
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| 03. Architecture of FPGAs.html |
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| 03. Benchmarking Model Performance.html |
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| 03. Calculating Model FLOPS Convolutional Layers.html |
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| 03. Changes in OpenVINO 2020.1.html |
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| 03. Handling Input Streams.html |
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| 03. How to Succeed.html |
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| 03. Installing OpenVINO.html |
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| 03. IntelScho L0 03 Why Is AI At The Edge Important V2-TP3LMX_1uwA.en.vtt |
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| 03. IntelScho L0 03 Why Is AI At The Edge Important V2-TP3LMX_1uwA.mp4 |
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| 03. IntelScho L1 03 Pre-Trained Models In The Intel Distribution Of OpenVINO Toolkit-1-Vije0cMBQ.en.vtt |
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| 03. IntelScho L1 03 Pre-Trained Models In The Intel Distribution Of OpenVINO Toolkit-1-Vije0cMBQ.mp4 |
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| 03. IntelScho L3 03 Supported Devices-m2d1urdJegA.mp4 |
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| 03. IntelScho L4 03 Handling Input Streams V2-F-7ofR4pdNE.en.vtt |
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| 03. IntelSchol L2 03 Optimization Techniques-FKgkB4lSn-U.en.vtt |
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| 03. ND131 C02 L02 A03 Architecture Of VPUs-Zc6sZgv1LWc.en.vtt |
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| 03. ND131 C03 L01 A03 Convolutional Layer FLOPS-AMUJFzAfSrE.en.vtt |
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| 03. Optimization Techniques.html |
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| 03. Part 2 Build the Inference Pipeline.html |
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| 03. Pre-Trained Models in OpenVINO™.html |
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| 03. Project Instructions Code.html |
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| 03. Scenario 1 Manufacturing.html |
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| 03. Supported Devices.html |
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| 03. Threads and Processes.html |
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| 03. Why is AI at the Edge Important.html |
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| 03. Why Use an Elevator Pitch.html |
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| 04. Advanced Concepts in Intel VTune.html |
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| 04. Applications of AI at the Edge.html |
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| 04. Calculate the FLOPs in a model.html |
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| 04. IntelScho L0 04 Applications Of AI At The Edge V2-E1StqFO7j9Q.mp4 |
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| 04. Using the Inference Engine with an IR.html |
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| 04. Welcome to Intel® Edge AI for IoT Developers.html |
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| 05. Advanced Benchmarking.html |
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| 05. Case Studies in Computer Vision.html |
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| 05. ND131 C03 L00 A03 What Is Software Optimization And Why Does It Matter--bl9ypB174Ak.en.vtt |
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| 05. ND131 C03 L02 A05 Advanced Benchmarking V2-sisoH54KzEY.en.vtt |
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| 05. Part 4 Standout Suggestions.html |
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| 05. Prerequisites _ Other Requirements.html |
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| 05. Project Instructions Write-Up.html |
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| 05. Scenario 3 Transportation.html |
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| 05. Solution Handling Input Streams.html |
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| 05. Use Your Elevator Pitch on LinkedIn.html |
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| 05. Using Efficient Layers Pooling Layers.html |
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| 05. What is Software Optimization and Why Does it Matter.html |
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| 05. Why is Choosing the Right Hardware Important .html |
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| 06. Available Pre-Trained Models in OpenVINO™.html |
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| 06. Course Structure.html |
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| 06. Create Your Profile With SEO In Mind.html |
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| 06. Design of Edge AI Systems.html |
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| 06. Exercise Advanced Benchmarking.html |
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| 06. Exercise Pooling Performance.html |
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| 06. Exercise VPU Scenario.html |
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| 06. Gathering Useful Information from Model Outputs.html |
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| 06. Intel CPU Architecture.html |
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| 06. IntelScho L1 06 Available Pre-Trained Models-SoTH1jr3-HA.mp4 |
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| 06. IntelScho L3 05 Exercise Feed An IR To The Inference Engine Solution-jEmebNVBlc4.en.vtt |
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| 06. Intel Vision Accelerator Design.html |
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| 06. L0 06 Course Structure-BD3nzcTAczg.mp4 |
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| 06. Minimum Viable Project.html |
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| 06. ND131 C02 L00 A05 Part 1 Stakeholders-VJNeGT1wHuw.en.vtt |
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| 06. ND131 C02 L00 A05 Part 2 Basic Approach To Developing A Product-KlwfOet07rg.en.vtt |
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| 06. ND131 C02 L01 A03 Intel Architecture V2-nro-MnsDMSI.en.vtt |
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| 06. ND131 C03 L00 A05 Types Of Software Optimization-H9eHrgsJeuw.en.vtt |
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| 06. Notebooks and Workspaces.html |
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| 06. Packaging Your Application.html |
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| 06. Part 2 Testing your Hardware.html |
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| 06. Part 5 Check Your Work.html |
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| 06. Solution Feed an IR to the Inference Engine.html |
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| 06. Types of Software Optimization.html |
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| 06. Using the Model Optimizer with TensorFlow Models.html |
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| 07. Analyze.html |
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| 07. CPU Specifications (Part 1).html |
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| 07. Exercise Convert a TF Model.html |
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| 07. Exercise FPGA Scenario.html |
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| 07. Exercise Loading Pre-Trained Models.html |
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| 07. Exercise Packaging Your Application.html |
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| 07. Exercise Process Model Outputs.html |
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| 07. Graffiti Tutorial.html |
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| 07. How Quantization is Done.html |
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| 07. IntelScho L3 06 Sending Interference Requests To The IE-wLN8HYZ05rg.mp4 |
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| 07. L0 07 Why Are The Topics Distinct-ZFrb7ZXJ_bA.mp4 |
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| 07. ND131 C02 L00 A05 Part 3 Analyze-iee3lbxbkHI.en.vtt |
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| 07. ND131 C03 L00 A06 Performance Metrics - Accuracy-WNl_wDp8e4E.en.vtt |
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| 07. ND131 C03 L00 A07 Latency And Throughput-02LPHNsl0Ag.en.vtt |
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| 07. ND131 C03 L01 A06 Separable Convolution-6Mo5Jb7TWT4.en.vtt |
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| 07. ND131 C03 L02 A07 How Quantization Is Done-JIz411TAM_M.en.vtt |
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| 07. Performance Metrics.html |
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| 07. Quick Fixes #1.html |
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| 07. Sending Inference Requests to the IE.html |
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| 07. Step 1 Create the Python Script.html |
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| 07. Updating Your Workspace.html |
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| 07. Using Efficient Layers Separable Convolutions.html |
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| 07. Why Are the Topics Distinct.html |
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| 08. Access the Career Portal.html |
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| 08. Asynchronous Requests.html |
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| 08. CPU Specifications (Part 2).html |
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| 08. Design.html |
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| 08. Exercise Deploying Runtime Package.html |
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| 08. Exercise Separable Convolutions Performance.html |
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| 08. IntelScho L1 07 Exercise Loading Pre-Trained Models Solution-QMfTUdWFsGw.mp4 |
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| 08. IntelScho L3 07 Asynchronous Requests-JGuUIDpn1PY.mp4 |
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| 08. IntelSchol L2 07 Exercise Convert A TF Model Solution-_E2EP3ZM92s.mp4 |
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| 08. L0 08 Relevant Tools And Prerequisites-s3wUC-4M4Uk.mp4 |
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| 08. ND131 C02 L00 A05 Part 4 Design-IKlSK3_zXjc.en.vtt |
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| 08. ND131 C02 L01 A04 Applications Of CPU V2-xG7sdR8bldY.en.vtt |
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| 08. ND131 C03 L00 A08 Other Hardware Metrics-g4z631VDNmc.en.vtt |
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| 08. ND131 C03 L02 A08 Quantization Using DL Workbench V2-gLWpKskI68A.mp4 |
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| 08. Quantizing a Model using DL Workbench.html |
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| 08. Quick Fixes #2.html |
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| 08. Solution Convert a TF Model.html |
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| 08. Walkthrough VPU and the DevCloud.html |
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| 08. Work Experiences _ Accomplishments.html |
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| 09. Build and Strengthen Your Network.html |
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| 09. Develop.html |
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| 09. Exercise CPU Scenario.html |
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| 09. IntelScho L1 08 Optimizations On The Pre-Trained Models-nKvZYnOnWm4.mp4 |
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| 09. IntelScho L2 08 Using The Model Optimizer With Caffe Models 2-nUvJ7aXeyMg.mp4 |
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| 09. IntelScho L4 07 Intro To MQTT-xe8137UtNCQ.en.vtt |
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| 09. L0 09 What You Will Build-e38WWETUZ8g.mp4 |
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| 09. Lesson Review.html |
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| 09. Measuring Layerwise Performance.html |
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| 09. ND131 C02 L00 A05 Part 5 Development _ Deployment V2-ctWyfB6CBqg.en.vtt |
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| 09. ND131 C03 L00 A09 When Do We Do SO-6qerVNayYh8.en.vtt |
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| 09. Optimizations on the Pre-Trained Models.html |
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| 09. Project-Demo-uWkMjUiqk0M.mp4 |
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| 09. Step 3 Manufacturing Scenario.html |
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| 09. Using the Model Optimizer with Caffe Models.html |
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| 09. Walkthrough FPGA and the DevCloud.html |
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| 09. What You Will Build.html |
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| 09. When do we do Software Optimization.html |
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| 09. Writing READMEs with Walter.html |
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| 1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
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| 10. Choosing the Right Model for Your App.html |
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| 10. Course Review.html |
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| 10. Exercise Convert a Caffe Model.html |
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| 10. Exercise FPGA and the DevCloud.html |
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| 10. Exercise Measuring Layerwise Performance.html |
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| 10. IntelScho L1 09 Choosing The Right Model For Your App-CWC195DzgAI.mp4 |
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| 10. IntelScho L4 08 Communicating With MQTT-3Jh-akmlmmU.en.vtt |
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| 10. Interview with Art - Part 2.html |
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| 10. Lesson Review.html |
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| 10. Model Compression.html |
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| 10. ND131 C03 L03 A31 Course Review-Yfc59S20r8A.en.vtt |
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| 10. Reaching Out on LinkedIn.html |
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| 10. Recap.html |
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| 10. Solution Inference Requests.html |
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| 10. Step 4 Retail Scenario.html |
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| 10. Test and Deploy.html |
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| 10. Updating Your Workspace.html |
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| 11. Basic Terminology.html |
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| 11. Commit messages best practices.html |
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| 11. Handling Results.html |
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| 11. IntelScho L1 10 Pre-Processing Inputs-E9huKos96Uk.mp4 |
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| 11. IntelScho L2 09 Exercise Convert A Caffe Model Solution V2-kfb7BGByUdM.mp4 |
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| 11. Knowledge Distillation.html |
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| 11. Pre-processing Inputs.html |
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| 11. Solution Convert a Caffe Model.html |
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| 11. Step 5 Transportation Scenario.html |
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| 11. Streaming Images to a Server.html |
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| 11. Walkthrough CPU and the DevCloud.html |
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| 12. Exercise CPU and the Devcloud.html |
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| 12. Exercise Pre-processing Inputs.html |
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| 12. Handling Statistics and Images from a Node Server.html |
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| 12. Integrating into Your App.html |
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| 12. Intel DevCloud .html |
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| 12. IntelScho L2 10 Using The Model Optimizer With ONNX Models V2-EeDZn7aeSxM.mp4 |
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