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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB2.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 339.3 MB2.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 327.8 MB1.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 296.0 MB2.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 290.0 MB1.Convolutional Neural Networks for Computer Vision/05.Building Better CNNs with Regularization.mp4 223.4 MB1.Convolutional Neural Networks for Computer Vision/03.Defining Layers for Image Recognition.mp4 206.8 MB4.Introduction to Reinforcement Learning/19.Using an Intelligent Agent.mp4 146.1 MB2.Applications of Recurrent Neural Networks/07.The Intuition Behind RNNs.mp4 141.5 MB1.Convolutional Neural Networks for Computer Vision/02.Installation and Setup.mp4 99.4 MB1.Convolutional Neural Networks for Computer Vision/01.The Course Overview.mp4 81.2 MB3.Application of Deep Learning to AI Problems/15.Building a Language Translator.mp4 55.1 MB3.Application of Deep Learning to AI Problems/13.Creating Images with GANs.mp4 54.5 MB3.Application of Deep Learning to AI Problems/11.Guessing Correlations from Scatter Plots.mp4 42.4 MB4.Introduction to Reinforcement Learning/18.Training a Neural Network Policy.mp4 40.8 MB4.Introduction to Reinforcement Learning/17.A Simple Environment and Basic Policies.mp4 27.4 MB3.Application of Deep Learning to AI Problems/12.Introduction to Generative Adversarial Networks.mp4 16.1 MB4.Introduction to Reinforcement Learning/16.Key Concepts in Reinforcement Learning.mp4 14.3 MB3.Application of Deep Learning to AI Problems/14.Sequence to Sequence Models.mp4 11.4 MB
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