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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
...TensorFlow, Caffe, Theano, DeepDrive, Keras, etc. Part-2(20%) of this training introduces Theano - a python library that makes writing deep learning models... Learn about: Network Training...
- Course
- City Of London
...Presentation of Main strategies for increasing feature maps for image generation. 5. Recurrent Neural Networks (RNN). - Presentation of... Learn about: Network Training, Artificial Intelligence...
- Course
- City Of London
...network application Choosing a suitable neural network Formulating the variational problem (loss index) Solving the reduced function optimization problem... 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
...Artificial Neural Network is a computational data model used in the development of Artificial Intelligence (AI) systems capable of performing "intelligent"... 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
...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
...Studio Defining Q# Operations Calling Q# Operations using C# Executing Your Quantum Program Using Visual Studio Executing Your Quantum Program Using... Learn about: Visual Studio...
- Course
- City Of London
...3）后向传播推导Back Propagation Intuition 4）梯度检测 5）随机初始化 1.6 怎样选择机器学习方法系统 1）候选机器学习方法：诊断 2）评价方法假设：error 3）模型选择和训练、验证实验数据：欠拟合、过拟合 4）区别诊断偏离bias和偏差variance 偏差：J(train)大，J(cv)大，J(train)≈J(cv)，bias产生于d小，欠拟合阶段；...
- Course
- City Of London
...model Overview of training approaches About GPUs and CPUs Fast beam search generation Installation and setup Evaluating pre-trained models Preprocessing...
- Course
- City Of London
...classification sentiment analysis spelling correction information extraction parsing meaning extraction question answering Artificial Intelligence &...
- Course
- City Of London
...several graphs in one window, 3D plots, changing the viewpoint, plotting surfaces, images and movies, Eigenvectors and the Singular Value Decomposition...
- Course
- City Of London
...computer vision, signal processing, parallel processing, image, video, audio and networking Installing Torch Linux, Windows, Mac Bitmapi and Docker Installing...
- Course
- City Of London
...learning and beyond K-means Advanced topics Ensemble models Mixed models Boosting Examples Multidimensional reduction Factor Analysis Principal Component... Learn about: Data Mining...
- Course
- City Of London
...Extraction Building Highly Accurate Predictive Models Improving Machine Learning Results Ensemble Methods Summary and Conclusion... Learn about: Financial Training...
- Course
- City Of London
...Creating a simple Deep Learning application in TensorFlow to add captions to a collection of pictures Troubleshooting A word on other (specialized)...
- Course
- City Of London
...predictive analytics within a business process Troubleshoot and optimize RapidMiner Audience Data scientists Engineers Developers Format of the Course Part lecture...
- Course
- City Of London
...what we are looking for, then tells us whether the expected pattern exists or not. Audience Engineers and developers seeking to develop machine vision...
- Course
- City Of London
...Framework for test automation Extending the framework Contributing to the project Closing remarks...