lovewarez Posted June 25, 2022 Report Share Posted June 25, 2022 [img]https://i.imgur.com/52PZ2sn.jpg[/img] [b]Deep Learning : From Scratch To The Depth[/b] Published 6/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 4.52 GB | Duration: 8h 43m Complete package of deep learning What you'll learn Classify images, data, and sentiments using deep learning Make predictions using linear regression, polynomial regression, and multivariate regression Data Visualization with MatPlotLib and Seaborn Clean your input data to remove outliers Advanced usage of python Requirements Just a basic understanding of programming. We'll take care of the rest !! Description To sidestep the unbending idea of PCs, complex and diverse profound brain networks are constructed and utilized as a base for learning. Rather than working as a sequential program, profound learning models work utilizing networks joined by hubs - like how the human mind utilizes a large number of associated neurons to work. It's the blend of designing advances, best practices, and hypotheses that empowers an abundance of beforehand unimaginable savvy applications.Regardless of as yet being a programmable machine, profound learning frameworks don't deal with information like your normal PC. A solitary profound brain network comprises various layers - the more layers there are, the more exact the outcomes. Be that as it may, rather than working independently or alternating, they expand upon one another's work. While brain networks fluctuate by the way they work, and not every one of them process information in a straight design, they all have a comparative establishment.Rather than working with the crude information of the info once more, each layer works with a somewhat more refined and streamlined rendition in view of the past layer's forecast and classification. The work the machine does inside the layers remains for the most part covered up, except for information and result layers, otherwise called the 'apparent layers'. Overview Section 1: INTRODUCTION Lecture 1 Introduction to Deep Learning Lecture 2 Introduction to Deep Learning - neural networks Section 2: DEEP LEARNING MODELS Lecture 3 Deep Learning Models - basics Lecture 4 Deep Learning Models - DETAILED Lecture 5 Deep Learning Models - neural network and its characteristics Lecture 6 Deep Learning Models - neural network and its characteristics Lecture 7 Deep Learning Models - neural network and its characteristics Section 3: ADDITIONAL MODELS Lecture 8 Additional Deep Learning Models - Part 1 Lecture 9 Additional Deep Learning Models - Part 2 Lecture 10 Additional Deep Learning Models - Generative Adversarial Networks (GAN) Section 4: LIBRARIES Lecture 11 Deep Learning Platforms Libraries - basics Lecture 12 Deep Learning Platforms Libraries - basics Lecture 13 Deep Learning Platforms Libraries - DataGraph Lab Lecture 14 Deep Learning Platforms Libraries - DataGraph Lab Conclusion Lecture 15 Deep Learning Platforms Libraries - Theano and Caffe Lecture 16 Deep Learning Platforms Libraries - TensorFlow part -1 Lecture 17 Deep Learning Platforms Libraries - Theano or TensorFlow Part - 2 Python developers curious about deep learning and data science,Programming enthusiasts,Students who wish to broaden their skillsets in python Screenshots [code] https://rapidgator.net/file/badef234d4ee7370623f43f4e8192824/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part1.rar.html https://rapidgator.net/file/761f15e588d190a69fe8144d33765f1b/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part2.rar.html https://rapidgator.net/file/a9f55ce8a92536092dfbadd54c8e03da/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part3.rar.html https://rapidgator.net/file/49e8ff48be8420c254bdf287c56655ce/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part4.rar.html https://rapidgator.net/file/82c75f4821d17d60b54d10d800f7951d/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part5.rar.html https://uploadgig.com/file/download/d4D74E0823e3Ea22/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part1.rar https://uploadgig.com/file/download/706e8A7e17519659/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part2.rar https://uploadgig.com/file/download/507d08eD41E7D8ac/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part3.rar https://uploadgig.com/file/download/217125c52Ffffe73/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part4.rar https://uploadgig.com/file/download/11478404fdfFbb76/DEEP_LEARNING_FROM_SCRATCH_TO_THE_DEPTH.part5.rar [/code] Link to comment Share on other sites More sharing options...
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