Search result for Advanced ml models Online Courses & Certifications
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Advanced Computer Vision with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
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Approx. 24 hours to complete
b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own rubber duck images. AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models....
Launching into Machine Learning
by Google Cloud Training- 4.6
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Approx. 22 hours to complete
Optimize and evaluate models using loss functions and performance metrics Practical ML Defining ML Models ML Model Pitfalls Lecture Lab: TensorFlow Playground - Advanced Generalization and ML Models Lab Introduction Exploring and Creating ML Datasets Lab Solution Walkthrough Exploring and Creating ML Datasets Generalization and ML Models...
Custom Models, Layers, and Loss Functions with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
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Approx. 31 hours to complete
• Compare Functional and Sequential APIs, discover new models you can build with the Functional API, and build a model that produces multiple outputs including a Siamese network. AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models....
TensorFlow 101: Introduction to Deep Learning
by Sefik Ilkin Serengil- 4.2
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4 hours on-demand video
We will also focus on the advanced topics in this lecture such as transfer learning, autoencoders, face recognition (including those models: VGG-Face, Google FaceNet, OpenFace and Facebook DeepFace). Also, you don't have to be attend any ML course before....
$12.99
Custom and Distributed Training with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.8
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Approx. 24 hours to complete
AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture and tools that help them create and train advanced ML models....
Introduction to TensorFlow
by Google Cloud Training- 4.4
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Approx. 19 hours to complete
Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform. Train, deploy, and productionalize ML models at scale with Cloud AI Platform...
Generative Deep Learning with TensorFlow
by Laurence Moroney , Eddy Shyu- 4.9
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Approx. 23 hours to complete
AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture, and gives them the tools to create and train advanced ML models....
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Testing and Monitoring Machine Learning Model Deployments
by Christopher Samiullah- 4.5
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8 hours on-demand video
ML testing strategies, shadow deployments, production model monitoring and more When we think about data science, we think about how to build machine learning models, which algorithm will be more predictive, how to engineer our features and which variables to use to make the models more accurate. Data Engineers looking to transition to ML engineering...
$12.99
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
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Approx. 28 hours to complete
- Build, tune and apply linear models with Spark MLLib - build and apply linear models for classification and regression tasks; Spark MLLib and Linear Models Spark MLLib and Linear Models Spark ML Tutorial: Text Processing Advanced Machine Learning with Texts Spark ML Programming Tutorial: Decision Trees & CV Advanced RecSys for Data Engineers...
Build Better Generative Adversarial Networks (GANs)
by Sharon Zhou , Eda Zhou , Eric Zelikman- 4.7
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Approx. 29 hours to complete
- Assess the challenges of evaluating GANs and compare different generative models This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research....
