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种子名称： [Udemy] Мастер-класс по современному ИИ 6 Проектов (2020) [En]
文件类型： 视频
文件数目： 84个文件
文件大小： 12.38 GB
收录时间： 2023-1-22 08:06
已经下载： 3次
资源热度： 135
最近下载： 2024-5-16 10:23

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[Udemy] Мастер-класс по современному ИИ 6 Проектов (2020) [En].torrent

01 Introduction/001 Introduction and Welcome Message.mp4146.56MB

01 Introduction/002 Introduction, Key Tips and Best Practices.mp4186.36MB

01 Introduction/003 Course Outline and Key Learning Outcomes.mp4290.95MB

03 Emotion AI/006 Project Introduction and Welcome Message.mp4126.21MB

03 Emotion AI/007 Task #1 - Understand the Problem Statement & Business Case.mp4182.7MB

03 Emotion AI/008 Task #2 - Import Libraries and Datasets.mp4132.29MB

03 Emotion AI/009 Task #3 - Perform Image Visualizations.mp4152.67MB

03 Emotion AI/010 Task #4 - Perform Images Augmentation.mp4221.31MB

03 Emotion AI/011 Task #5 - Perform Data Normalization and Scaling.mp4100.7MB

03 Emotion AI/012 Task #6 - Understand Artificial Neural Networks (ANNs) Theory & Intuition.mp4390.98MB

03 Emotion AI/013 Task #7 - Understand ANNs Training & Gradient Descent Algorithm.mp4211.33MB

03 Emotion AI/014 Task #8 - Understand Convolutional Neural Networks and ResNets.mp4196.35MB

03 Emotion AI/015 Task #9 - Build ResNet to Detect Key Facial Points.mp4158.18MB

03 Emotion AI/016 Task #10 - Compile and Train Facial Key Points Detector Model.mp485.98MB

03 Emotion AI/017 Task #11 - Assess Trained ResNet Model Performance.mp473.2MB

03 Emotion AI/018 Task #12 - Import and Explore Facial Expressions (Emotions) Datasets.mp4145.17MB

03 Emotion AI/019 Task #13 - Visualize Images for Facial Expression Detection.mp468.52MB

03 Emotion AI/020 Task #14 - Perform Image Augmentation.mp489.36MB

03 Emotion AI/021 Task #15 - Build & Train a Facial Expression Classifier Model.mp4171.99MB

03 Emotion AI/022 Task #16 - Understand Classifiers Key Performance Indicators (KPIs).mp4203.88MB

03 Emotion AI/023 Task #17 - Assess Facial Expression Classifier Model.mp4157.61MB

03 Emotion AI/024 Task #18 - Make Predictions from Both Models_ 1. Key Facial Points & 2. Emotion.mp476.44MB

03 Emotion AI/025 Task #19 - Save Trained Model for Deployment.mp4125MB

03 Emotion AI/026 Task #20 - Serve Trained Model in TensorFlow 2.0 Serving.mp449.06MB

03 Emotion AI/027 Task #21 - Deploy Both Models and Make Inference.mp4134.06MB

04 AI in Healthcare/028 Project Introduction and Welcome Message.mp4120.31MB

04 AI in Healthcare/029 Task #1 - Understand the Problem Statement and Business Case.mp4311.28MB

04 AI in Healthcare/030 Task #2 - Import Libraries and Datasets.mp4186.81MB

04 AI in Healthcare/031 Task #3 - Visualize and Explore Datasets.mp4209.72MB

04 AI in Healthcare/032 Task #4 - Understand the Intuition behind ResNet and CNNs.mp4184.63MB

04 AI in Healthcare/033 Task #5 - Understand Theory and Intuition Behind Transfer Learning.mp4185.95MB

04 AI in Healthcare/034 Task #6 - Train a Classifier Model To Detect Brain Tumors.mp4352.13MB

04 AI in Healthcare/035 Task #7 - Assess Trained Classifier Model Performance.mp497.46MB

04 AI in Healthcare/036 Task #8 - Understand ResUnet Segmentation Models Intuition.mp4223.89MB

04 AI in Healthcare/037 Task #9 - Build a Segmentation Model to Localize Brain Tumors.mp4168.5MB

04 AI in Healthcare/038 Task #10 - Train ResUnet Segmentation Model.mp448.06MB

04 AI in Healthcare/039 Task #11 - Assess Trained ResUNet Segmentation Model Performance.mp4196.6MB

05 AI in Business (Marketing)/040 Project Introduction and Welcome Message.mp496.72MB

05 AI in Business (Marketing)/041 Task #1 - Understand AI Applications in Marketing.mp4113.54MB

05 AI in Business (Marketing)/042 Task #2 - Import Libraries and Datasets.mp4139.59MB

05 AI in Business (Marketing)/043 Task #3 - Perform Exploratory Data Analysis (Part #1).mp4166.08MB

05 AI in Business (Marketing)/044 Task #4 - Perform Exploratory Data Analysis (Part #2).mp4315.8MB

05 AI in Business (Marketing)/045 Task #5 - Understand Theory and Intuition Behind K-Means Clustering Algorithm.mp4209.93MB

05 AI in Business (Marketing)/046 Apply Elbow Method to Find the Optimal Number of Clusters.mp4125.6MB

05 AI in Business (Marketing)/047 Task #7 - Apply K-Means Clustering Algorithm.mp4221.21MB

05 AI in Business (Marketing)/048 Task #8 - Understand Intuition Behind Principal Component Analysis (PCA).mp4177.12MB

05 AI in Business (Marketing)/049 Task #9 - Understand the Theory and Intuition Behind Auto-encoders.mp4109.06MB

05 AI in Business (Marketing)/050 Task #10 - Apply Auto-encoders and Perform Clustering.mp4206.21MB

06 AI In Business (Finance) & AutoML/051 Project Introduction and Welcome Message.mp4118.38MB

06 AI In Business (Finance) & AutoML/053 Task #1 - Understand the Problem Statement & Business Case.mp4187.59MB

06 AI In Business (Finance) & AutoML/054 Task #2 - Import Libraries and Datasets.mp463.15MB

06 AI In Business (Finance) & AutoML/055 Task #3 - Visualize and Explore Dataset.mp4345.62MB

06 AI In Business (Finance) & AutoML/056 Task #4 - Clean Up the Data.mp439.26MB

06 AI In Business (Finance) & AutoML/057 Task #5 - Understand the Theory & Intuition Behind XG-Boost Algorithm.mp4270.97MB

06 AI In Business (Finance) & AutoML/058 Task #6 - Understand XG-Boost Algorithm Key Steps.mp4258.03MB

06 AI In Business (Finance) & AutoML/059 Task #7 - Train XG-Boost Algorithm Using Scikit-Learn.mp4124.98MB

06 AI In Business (Finance) & AutoML/060 Task #8 - Perform Grid Search and Hyper-parameters Optimization.mp483.73MB

06 AI In Business (Finance) & AutoML/061 Task #9 - Understand XG-Boost in AWS SageMaker.mp4134.06MB

06 AI In Business (Finance) & AutoML/062 Task #10 - Train XG-Boost in AWS SageMaker.mp4190.34MB

06 AI In Business (Finance) & AutoML/063 Task #11 - Deploy Model and Make Inference.mp4166.39MB

06 AI In Business (Finance) & AutoML/064 Task #12 - Train and Deploy Model Using AWS AutoPilot (Minimal Coding Required!).mp4213.75MB

07 Creative AI/065 Project Introduction and Welcome Message.mp476.72MB

07 Creative AI/066 Task #1 - Understand the Problem Statement & Business Case.mp4257.67MB

07 Creative AI/067 Task #2 - Import Model with Pre-trained Weights.mp473.45MB

07 Creative AI/068 Task #3 - Import and Merge Images.mp493.82MB

07 Creative AI/069 Task #4 - Run the Pre-trained Model and Explore Activations.mp4104.96MB

07 Creative AI/070 Task #5 - Understand the Theory & Intuition Behind Deep Dream Algorithm.mp4343.4MB

07 Creative AI/071 Task #6 - Understand The Gradient Operations in TF 2.0.mp433.92MB

07 Creative AI/072 Task #7 - Implement Deep Dream Algorithm Part #1.mp4127.31MB

07 Creative AI/073 Task #8 - Implement Deep Dream Algorithm Part #2.mp4222.01MB

07 Creative AI/074 Task #9 - Apply DeepDream Algorithm to Generate Images.mp4103.89MB

07 Creative AI/075 Task #10 - Generate DeepDream Video.mp4122.43MB

08 Explainable AI/076 Project Introduction and Welcome Message.mp482MB

09 Crash Course on AWS, S3, and SageMaker/078 What is AWS and Cloud Computing_.mp453.31MB

09 Crash Course on AWS, S3, and SageMaker/079 Key Machine Learning Components and AWS Tour.mp442.05MB

09 Crash Course on AWS, S3, and SageMaker/080 Regions and Availability Zones.mp457.75MB

09 Crash Course on AWS, S3, and SageMaker/081 Amazon S3.mp488.85MB

09 Crash Course on AWS, S3, and SageMaker/082 EC2 and Identity and Access Management (IAM).mp482.76MB

09 Crash Course on AWS, S3, and SageMaker/083 AWS Free Tier Account Setup and Overview.mp433.01MB

09 Crash Course on AWS, S3, and SageMaker/084 AWS SageMaker Overview.mp446.27MB

09 Crash Course on AWS, S3, and SageMaker/085 AWS SageMaker Walk-through.mp4128.52MB

09 Crash Course on AWS, S3, and SageMaker/086 AWS SageMaker Studio Overview.mp447.64MB

09 Crash Course on AWS, S3, and SageMaker/087 AWS SageMaker Studio Walk-through.mp477.82MB

09 Crash Course on AWS, S3, and SageMaker/088 AWS SageMaker Model Deployment.mp4133.98MB