01 - The Course Overview.mp4 31.25 MB
02 - Introduction to the Google Cloud Platform.mp4 18.15 MB
03 - Getting a GCP Account.mp4 7.49 MB
04 - Walking Through the GCP Console and Google Cloud SDK.mp4 30.4 MB
05 - Google Compute and Google Storage.mp4 13.28 MB
06 - AI Platform Overview.mp4 7.71 MB
07 - Example Workflow with AI Platform Notebooks.mp4 43.08 MB
08 - What Is TensorFlow and What are TensorFlow APIs.mp4 17.73 MB
09 - Lab - Programming in TensorFlow.mp4 35.99 MB
10 - Using TensorBoard.mp4 37.51 MB
11 - Overview of Machine Learning.mp4 16.26 MB
12 - Lab - Linear Regression on TensorFlow.mp4 45.25 MB
13 - Logistic Regression.mp4 10.73 MB
14 - Lab - Logistic Regression on TensorFlow.mp4 19.82 MB
15 - K-Nearest Neighbor (KNN).mp4 11.2 MB
16 - Lab - KNN on TensorFlow.mp4 25.84 MB
17 - Lab - Project Setup.mp4 4.34 MB
18 - Lab - Staging Data and Preprocessing.mp4 18.83 MB
19 - Model Training Using Keras API.mp4 8.33 MB
20 - Lab - Testing Model Predictions.mp4 14.19 MB
21 - Lab - Exporting the Model for Production.mp4 16.28 MB
22 - Project Setup.mp4 14.72 MB
23 - Lab - Staging Data and Preprocessing.mp4 44.51 MB
24 - Defining the Model.mp4 12.44 MB
25 - Lab - Defining the Distribution Strategy.mp4 14.01 MB
26 - Lab - Distributed Training.mp4 14.48 MB
27 - Lab - Monitor Learning Process in TensorBoard.mp4 24.33 MB
28 - Overview - Methods for Serving TensorFlow Models on GCP.mp4 34.79 MB
29 - Lab - Setting Up TensorFlow Serving.mp4 4.65 MB
30 - Inference Using TensorFlow Serving.mp4 22.03 MB
31 - Lab - Deploying Models to AI Platform.mp4 15.1 MB
32 - Lab - Inference Using AI Platform.mp4 18.02 MB
33 - Lab - Setting Up Cloud Functions for TensorFlow.mp4 28.27 MB
34 - Lab - Inference Using Cloud Functions.mp4 11.43 MB
35 - Introduction to Neural Network.mp4 26.09 MB
36 - Feedforward and Activation Function.mp4 8.77 MB
37 - Gradient Descent.mp4 17 MB
38 - Backpropagation.mp4 15.81 MB
39 - One Hot Encoding, Softmax, and Cross-Entropy.mp4 20.1 MB
40 - Lab - Building a Simple Neural Network on TensorFlow.mp4 60.58 MB
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