PyTorch Ultimate 2024: From Basics to Cutting-Edge
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PyTorch Ultimate 2024: From Basics to Cutting-Edge
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In this course you will learn everything that is needed for developing and applying Deep Learning models to
your own data. All relevant fields like Regression, Classification, CNNs, RNNs, GANs, NLP, Recommender
Systems, and many more are covered.
What you will learn
analyze all applicable components of PyTorch from easy fashions to modern-day models
installation your mannequin on-premise and to Cloud
Transformers
Natural Language Processing (NLP), e.g. Word Embeddings, Zero-Shot Classification, Similarity Scores
CNNs (Image-, Audio-Classification; Object Detection)
Style Transfer
Recurrent Neural Networks
Autoencoders
Generative Adversarial Networks
Recommender Systems
adapt top-notch algorithms like Transformers to customized datasets
improve CNN fashions for photograph classification, object detection, Style Transfer
strengthen RNN models, Autoencoders, Generative Adversarial Networks
study about new frameworks (e.g. PyTorch Lightning) and new fashions like OpenAI ChatGPT