PyTorch Ultimate 2023: From Basics to Cutting-Edge

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Price: 79.99$

Py Torch is a Python framework developed by Facebook to develop and deploy Deep Learning models. It is one of the most popular Deep Learning frameworks nowadays. 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. Furthermore, state of the art models and architectures  like Transformers, YOLOv7, or Chat GPT are presented. It is important to me that you learn the underlying concepts as well as how to implement the techniques. You will be challenged to tackle problems on your own, before I present you my solution. In my course I will teach you: Introduction to Deep Learninghigh level understandingperceptronslayersactivation functionsloss functionsoptimizers Tensor handlingcreation and specific features of tensorsautomatic gradient calculation (autograd)Modeling introduction, incl. Linear Regression from scratchunderstanding Py Torch model training Batches Datasets and Dataloaders Hyperparameter Tuningsaving and loading models Classification modelsmultilabel classificationmulticlass classification Convolutional Neural Networks CNN theorydevelop an image classification modellayer dimension calculationimage transformations Audio Classification with torchaudio and spectrograms Object Detectionobject detection theorydevelop an object detection model YOLO v7, YOLO v8Faster RCNNStyle Transfer Style transfer theorydeveloping your own style transfer model Pretrained Models and Transfer Learning Recurrent Neural Networks Recurrent Neural Network theorydeveloping LSTM models Recommender Systems with Matrix Factorization Autoencoders Transformers Understand Transformers, including Vision Transformers (Vi T)adapt Vi T to a custom dataset Generative Adversarial Networks Semi-Supervised Learning Natural Language Processing (NLP)Word Embeddings Introduction Word Embeddings with Neural Networks Developing a Sentiment Analysis Model based on One-Hot Encoding, and Glo Ve Application of Pre-Trained NLP models Model Debugging Hooks Model Deploymentdeployment strategiesdeployment to on-premise and cloud, specifically Google Cloud Miscellanious Topics Chat GPTRes Net Extreme Learning Machine (ELM)Enroll right now to learn some of the coolest techniques and boost your career with your new skills. Best regards, Bert