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Python – Data Processing
nWhat you’ll learnnnUnderstand the intuition behind Artificial Neural NetworksnBuild Deep Learning ModelsnConvolution Neural NetworksnSequence ModelsnnCourse contentnExpand all 36 lectures02:29:53n-Introductionn09:34nApplications of Deep LearningnPreviewn05:12nWhat is Deep Learning?nPreviewn01:36nWhy Deep Learning?nPreviewn01:08nWhy now?nPreviewn01:38n-Fundamentalsn04:13nHello World of Deep learningnPreviewn01:14nDataset and Featuresn01:09nClassificationn01:50n-Neural Networksn36:59nnGet Python – Data Processing downloadnPerceptronn12:13nSigmoid Functionn06:39nSoftmax Functionn05:27nOne Hot Encodingn03:56nActivation Functionsn04:50nLogic Gates and XOR Problemn03:54n-Training Neural Networksn51:02nCross Entropyn06:19nLoss Optimizationn03:24nGradient Descentn12:10nNon Linear Modelsn03:20nFeed Forwardn03:00nBackward Propagationn02:18nOverfitting problemn04:42nEarly Stoppingn05:57nRegularizationn04:26nDrop outn01:23nVanishing Gradient Problemn04:03n-Convolution Neural Networksn32:32nNeed for feature extractionn05:18nPreprocessingn01:39nConvolution Operationn21:10nPooling Layern04:25nFlatteningnProcessing..n-Sequence Modelsn15:33nRecurrent Neural Networksn05:05nLSTMsn03:08nArchitecture of LSTMsn01:20nForget Gaten02:41nLearn Gaten01:47nRemember Gaten00:38nUse Gaten00:54nRequirementsnnJust some high school mathematicsnBasic linear algebra and calculusnnDescriptionnnInterested in the field of Machine Learning and Deep Learning? Then this course is for you!nnThis course is designed in a very simple and easily understandable content.nnYou might have seen lots of buzz on deep learning and you want to figure out where to start and explore.nnThis course is designed exactly for people like you!nnIf basics are strong, we can do bigger things with ease.nnMy focus in this course is to build complicated things starting from very basicsnnIn this course, I will cover the following thingsnnSession 1 – Introductory material on Deep learning, its applications and significance.nnSession 2 – Introduces the fundamental building block of deep learningnnSession 3 – Logistic Regression, Activation Functions, Perceptron, One Hot Encoding, XOR problem and Multi-Layer Perceptron modelsnnSession 4 – Training of Neural Networks: Cross Entropy, Loss Function, Gradient descent Algorithm, Non-Linear Models, Feed Forward, Backward propagation, Overfitting problem, Early stopping, Regularization, drop out and Vanishing Gradient problem.nnSession 5 – Convolution Neural Networks: Feature Extraction, Convolution Layer, Pooling Layer, Relu, Flattening and Deep Convolution Neural Networks.nnSession 6 – Sequence Models: Recurrent Neural Networks, LSTMsnnAre there any course requirements or prerequisites?nnJust some high school mathematics level.nnWho this course is for:nnAnyone interested in Machine Learning and Deep LearningnnStudents who have high school knowledge in mathematics and who want to start learning Deep LearningnnAny intermediate level people who know the basics of machine learning, who want to learn more advanced topics like deep learningnnAny students in college who want to start a career in Data SciencennAny data analysts who want to level up in Machine Learning and Deep LearningnnAny people who are not satisfied with their job and who want to become a Data ScientistnnAny people who want to create added value to their business by using powerful Learning toolsnnBuild a foundation on the principles of Deep Learning to understand the latest trendsnnWho this course is for:nnAnyone interested in Machine Learning and Deep LearningnStudents who have high school knowledge in mathematics and who want to start learning Deep LearningnAny intermediate level people who know the basics of machine learning, who want to learn more advanced topics like deep learningnAny students in college who want to start a career in Data SciencenAny data analysts who want to level up in Machine Learning and Deep LearningnAny people who are not satisfied with their job and who want to become a Data Scientist.nAny people who want to create added value to their business by using powerful Learning tools.nBuild a foundation on the principles of Deep Learning to understand the latest trendsnnGet Python – Data Processing downloadTrading foreign exchange and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance does not guarantee future results.
