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- City Of London
...Deep Reinforcement Learning refers to the ability of an "artificial agent" to learn by trial-and-error and rewards-and-punishments. An artificial agent...
- Course
- City Of London
...Linear regression, Naive Bayes, Random Tree Machine learning VS Deep Learning: problems on which Machine Learning remains Today the state of the... Learn about: Network Training...
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- City Of London
...Presentation of the different CNN architectures that brought the state of the art in classification Images: LeNet, VGG Networks, Network in Network... Learn about: Artificial Intelligence, Network Training...
- Course
- City Of London
...Compiling with QT Creator Integrating, testing and debugging your application The future of neural networks and OpenNN... Learn about: Network Training...
- Course
- City Of London
...maximum margin The case of linearly separable data The case of non-linearly separable data Using kernels for non-linear spaces 9. Understanding association... Learn about: Network Training...
- Course
- City Of London
...tasks. Neural Networks are commonly used in Machine Learning (ML) applications, which are themselves one implementation of AI. Deep Learning is a subset of... Learn about: Network Training...
- Course
- City Of London
...on the practical aspects of data/model preparation, execution, post hoc analysis and visualization. The purpose is to give practical applications to Machine...
- Course
- City Of London
...training algorithms range of application Estimation Problems with the possibility of approximation by Examples XOR problem Lotto? Equities OCR and image... Learn about: Network Training...
- Course
- City Of London
...part discussion, exercises and heavy hands-on practice Note To request a customized training for this course, please contact us to arrange. Introduction... Learn about: Visual Studio...
- Course
- City Of London
...第1部分机器学习入门与进阶大纲 1.1单参数线性回归Linear Regression with one variable 1）曲线拟合：一系列点拟合直线h(x)=theta0+theta1*x 2）误差函数cost function：J(theta0, theta1)；目标：min J 3）bowl-shape...
- Course
- City Of London
...your data Training the model Translating Converting a trained model to use CPU-only operations Joining to the community Closing remarks...
- Course
- City Of London
...technicalities and revolve around basic concepts and business/operational applications of the same. Target Audience Investors and AI entrepreneurs Managers...
- Course
- City Of London
...number representation and accuracy, loading and saving data Arrays and vectors Extracting elements from a vector, vector maths Plotting graphs Improving the presentation...
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- City Of London
...the necessary practice to implement Torch in their own projects. Audience Software developers and programmers wishing to enable Machine and Deep Learning...
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- City Of London
...Cross-validation and Resampling Cross-validation approaches Bootstrap Exercises Unsupervised Learning K-means clustering Examples Challenges of unsupervised... Learn about: Data Mining...
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- City Of London
...Analysts Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Introduction Describing the Structure... Learn about: Financial Training...
- Course
- City Of London
...Python Code that generates captions from the detected keywords Audience Programmers with interest in linguistics Programmers who seek an understanding of...
- Course
- City Of London
...Troubleshooting and Optimization Summary and Conclusion...
- Course
- City Of London
...Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics...
- Course
- City Of London
...and combination Tracking Face features detection Real time tracking of multiple blobs Partial shape matching Skin-colored pixels detection Using Marvin...