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- Course
- City Of London
...behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning Apply advanced Reinforcement Learning algorithms to solve real-world...
- Course
- City Of London
...and deployment mechanisms be able to carry out installation / production environment / architecture tasks and configuration be able to assess code quality... Learn about: Network Training...
- Course
- City Of London
...fundamental principles and applications. - Basic operation of the RNN: hidden activation, back propagation through time, Unfolded version... Learn about: Artificial Intelligence, Network Training...
- Course
- City Of London
...Format of the course Lecture and discussion coupled with hands-on exercises. Introduction to OpenNN, Machine Learning and Deep Learning Downloading OpenNN... Learn about: Network Training...
- Course
- City Of London
...model performance with meta-learning Understanding ensembles Bagging Boosting Random forests Training random forests Evaluating random forest performance... Learn about: Network Training...
- Course
- City Of London
...PCA and Whitening Self-Taught Learning Deep Networks Linear Decoders Convolution and Pooling Sparse Coding Independent Component Analysis Canonical Correlation... Learn about: Network Training...
- Course
- City Of London
...Support Vector Machines (SVM) for regression and classification Boosting Ensemble models Neural networks Hidden Markov Models (HMM) Space State Models Clustering...
- Course
- City Of London
...and gaming issues Turing test again Over-confidence in the capabilities of computers... Learn about: Network Training...
- Course
- City Of London
...In this instructor-led, live training, participants will learn the fundamentals of quantum computing and Q# as they step through the development of simple quantum programs... 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
...Neural Machine Translation model Convolutional Sequence to Sequence Learning Convolutional Encoder Model for Neural Machine Translation Standard LSTM-based...
- Course
- City Of London
...Learning Technical Overview R v/s Python Caffe v/s Tensor Flow Various Machine Learning Libraries Industry Case Studies...
- Course
- City Of London
...Complex numbers Plotting complex numbers, Statistics and data processing GUI Development...
- Course
- City Of London
...machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets. It is one of the fastest and most flexible frameworks...
- Course
- City Of London
...analysts inside corporations and academia. R has a wide variety of packages for data mining. Introduction to Data mining and Machine Learning Statistical learning... Learn about: Data Mining...
- Course
- City Of London
...music, text, and financial data Push Python algorithms to their maximum potential Use libraries and packages such as NumPy and Theano Audience Developers... 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
...machine learning, deep learning, text mining, and predictive analytics. In this instructor-led, live training, participants will learn how to use RapidMiner...
- Course
- City Of London
...applications Manufacturing engineers, technicians and managers Format of the course This course introduces the approaches, technologies and algorithms...
- Course
- City Of London
...the course The basic principles of image analysis, video analysis and the Marvin Framework are first introduced. Students are given project-based tasks...