Practical Deep Learning on the Cloud
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2:27:31
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01 - The Course overview.mp4
03:27
02 - Introduction to Cloud Platform AWS.mp4
05:00
03 - Deep Learning and Deep Learning Algorithms.mp4
05:46
04 - Deep Learning on Cloud.mp4
03:50
05 - Course Projects.mp4
01:43
06 - What Is Serverless Cluster Processing.mp4
07:19
07 - Introduction to Lambda, Step Functions, Batch, and Fargate.mp4
06:28
08 - Creating an AWS Account.mp4
02:59
09 - Where to Use Serverless Deep Learning Pipelines.mp4
03:16
10 - Installation of Serverless Framework and Deploying AWS Step Functions.mp4
07:46
11 - Working with TensorFlow.mp4
04:01
12 - Training and Exporting a Model.mp4
04:16
13 - Using Different Repositories of Models.mp4
02:09
14 - Importing a Pretrained CNN Model.mp4
03:55
15 - Deep Learning Solutions for Computer Vision Tasks.mp4
03:19
16 - How to Use Pretrained CNN Models for Your Computer Vision Task.mp4
02:56
17 - Using a Pretrained CNN Model for the New Dataset.mp4
04:17
18 - Using AWS SageMaker to Train Deep Learning CNN Models.mp4
10:46
19 - Introduction to Data Pipelines and How AWS Fargate Can Be Used to Implement One.mp4
04:59
20 - Deploying AWS Step Functions with AWS Fargate Using Serverless Framework.mp4
06:32
21 - Image Data Pipeline Project.mp4
05:47
22 - Building Deep Learning Training Pipelines.mp4
09:09
23 - Deploying AWS Step Functions with AWS Batch Using Serverless Framework.mp4
06:56
24 - Project Deep Learning Training Pipeline for the CNN.mp4
07:23
25 - Introduction to Using AWS Lambda for Deep Learning Inference.mp4
13:17
26 - Deploying AWS Step Functions with AWS Lambda Using Serverless Framework.mp4
04:42
27 - Project - Deep Learning Inference Pipeline for CNN.mp4
05:33
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PacktPub
View courses PacktPubPackt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.
- language english
- Training sessions 27
- duration 2:27:31
- Release Date 2024/03/15