PyTorch for Deep Learning with Python Bootcamp

PyTorch for Deep Learning with Python Bootcamp Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 6.71 GB Genre: eLearning Video | Duration: 97 lectures (17 hour) | Language: English Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library! What you'll learn Learn how to use NumPy to format data into arrays Use pandas for data manipulation and cleaning Learn classic machine learning theory principals Use PyTorch Deep Learning Library for image classification Use PyTorch with Recurrent Neural Networks for Sequence Time Series Data Create state of the art Deep Learning models to work with tabular data Requirements Understanding of Python Basic Topics (data types,loops,functions) also Python OOP recommended Be able to work through basic derivative calculations Admin Permissions on your computer (ability to download our files) Description Welcome to the best online course for learning about Deep Learning with Python and PyTorch! PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks for Python. Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. This course focuses on balancing important theory concepts with practical hands-on exercises and projects that let you learn how to apply the concepts in the course to your own data sets! When you enroll in this course you will get access to carefully laid out notebooks that explain concepts in an easy to understand manner, including both code and explanations side by side. You will also get access to our slides that explain theory through easy to understand visualizations. In this course we will teach you everything you need to know to get started with Deep Learning with Pytorch, including: NumPy Pandas Machine Learning Theory Test/Train/Validation Data Splits Model Evaluation - Regression and Classification Tasks Unsupervised Learning Tasks Tensors with PyTorch Neural Network Theory Perceptrons Networks Activation Functions Cost/Loss Functions Backpropagation Gradients Artificial Neural Networks Convolutional Neural Networks Recurrent Neural Networks and much more! By the end of this course you will be able to create a wide variety of deep learning models to solve your own problems with your own data sets. So what are you waiting for? Enroll today and experience the true capabilities of Deep Learning with PyTorch! I'll see you inside the course! -Jose Who this course is for: Intermediate to Advanced Python Developers wanting to learn about Deep Learning with PyTorch Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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