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- Course
- City Of London
...problems Build a Deep Learning Agent Audience Developers Data Scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice...
- Course
- City Of London
...feature map generation, pooling layers. Extensions 1D, 2D and 3D. Presentation of the different CNN architectures that brought the state of the art in classification Images... Learn about: Network Training...
- Course
- City Of London
...according to the data. - Approximation of a function by a network of neurons: presentation and examples - Approximation of a distribution by a network of neurons... Learn about: Network Training, Artificial Intelligence...
- 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
...the appropriate number of clusters 11. Measuring performance for classification Working with classification prediction data A closer look at confusion... Learn about: Network Training...
- Course
- City Of London
...case Generalities Deterministic cv. Stochastic scenarios Bayes error noise Estimation and approximation errors Model selection Radmeacher Complexity... Learn about: Network Training...
- Course
- City Of London
...This training course is for people that would like to apply Machine Learning in practical applications. Audience This course is for data scientists...
- Course
- City Of London
...The polymorphic nature of the sigmoidal Other functions activated Construction of neural networks Concept of neurons connect Neural network as nodes Building... Learn about: Network Training...
- Course
- City Of London
...By the end of this training, participants will be able to: Install and configure Microsoft's Quantum Development Kit Understand the fundamental concepts... Learn about: Visual Studio...
- Course
- City Of London
...3）对Skewed Classes建立Error Metrics 4）在精度Precision和召回率Recall间均衡 5）机器学习数据选定 1.8 支持向量机SVM 1）SVM的损失函数：cost function 2）最大间距分类：判定边界 3）SVM核-Gaussian Kernel：非线性判定边界...
- Course
- City Of London
...participants will have the knowledge and practice needed to implement a live Fairseq based machine translation solution. Audience Localization specialists...
- Course
- City Of London
...Statistical learning vs. Machine learning Iteration and evaluation Bias-Variance trade-off Machine Learning with Python Choice of libraries Add-on tools...
- 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...
- Course
- City Of London
...and capabilities as well as its role and contribution within the AI space compared to other frameworks and libraries. Participants will have also received...
- Course
- 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...
- Course
- City Of London
...of Unlabled Data Unsupervised Machine Learning Recognizing, Clustering and Generating Images, Video Sequences and Motion-capture Data Deep Belief Networks (DBNs)... Learn about: Financial Training...
- Course
- City Of London
...NLP Differentiating between the various types of DL models Using pre-trained vs trained models Using word embeddings and sentiment analysis to extract...
- Course
- City Of London
...Studio for data preparation, machine learning, and predictive model deployment. By the end of this training, participants will be able to: Install...
- Course
- City Of London
...diameters, angles, and other dimensions Rejecting a component Inspection Detecting flaws Adjusting the system Closing remarks...
- Course
- City Of London
...Framework for test automation Extending the framework Contributing to the project Closing remarks...