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PyTorch is grabbing the attention of all data science professionals due to its ease of use over other libraries and its use of dynamic computation graphs. Like Python, PyTorch has a clean and simple API, which makes building neural networks faster and easier.
Why should one take this certification?
In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process sequential data such as texts.
By the end of this course, you will be able to use PyTorch proficiently in your real-world projects.
Job seekers looking for employment in IT companies, IT departments of PSUs or MNCs, will find the certification of great help. Certification in Deep learning with Pytorch framework benefits Data Science professionals, students and professionals.
IT companies, MNCs, Consultancies hire Pytorch professionals for Data Science related opportunities. Companies employing Data Science include Capgemini, JP Morgan Chase, TCS, Wipro, Zensar, Accenture etc.
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GETTING STARTED WITH PYTORCH
TRAINING YOUR FIRST NEURAL NETWORK
COMPUTER VISION – CNN FOR DIGITS RECOGNITION
SEQUENCE MODELS – RNN FOR TEXT GENERATION
AUTOENCODER - DENOISING IMAGES
REINFORCEMENT LEARNING – BALANCE CARTPOLE USING DQN
FIRST STOP: A QUICK INTRODUCTION TO PYTORCH
SLEEPING UNDER THE STARS: IT'S A BIRD...IT'S A PLANE...IT’S A CNN?
GOING ABROAD: LANGUAGE DETECTION FOR FUN AND PROFIT WITH RNN
MAKING FRIENDS: LOST IN TRANSLATION WITH LSTM
GETTING SOME CULTURE: BECOMING A DEEP NEURAL PICASSO WITH DNN
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