PyTorch Fundamentals
بواسطة:
N/A
- Module 1: Learn how to build machine learning models with PyTorch
In this module you will:
- Learn the key concepts used to build machine learning models
- Learn how to build a Computer Vision model
- Build models with the PyTorch API
- Module 2: Learn how to perform different computer vision tasks using PyTorch.
In this module you will:
- Learn how to build computer vision machine learning models
- Learn how to represent images as tensors
- Learn how to build Dense Neural Networks and Convolutional Neural Networks
- Module 3: Learn how to handle language and solve natural language processing tasks with PyTorch
In this module you will:
- Understand how text is processed for natural language processing tasks
- Get introduced to Recurrent Neural Networks (RNNs) and Generative Neural Networks (GNNs)
- Learn about Attention Mechanisms
- Learn how to build text classification models
- Module 4: Learn how to do audio classification with PyTorch.
In this module you will:
- Learn the basics of audio data
- Learn how to visualize and transform audio data
- Build a binary classification speech model that can recognize "yes" and "no"
- Module 1: Introduction to PyTorch
- Introduction
- What are Tensors?
- Load data with PyTorch Datasets and DataLoaders
- Transform the data
- Building the model layers
- Automatic differentiation
- Learn about the optimization loop
- Save, load, and run model predictions
- The full model building process
- Summary
- Module 2: Introduction to Computer Vision with PyTorch
- Introduction
- Introduction to processing image data
- Training a simple dense neural network
- Training a multi-Layered perceptron
- Use a convolutional neural network
- Use a pre-trained network with transfer learning
- Solving vision problems with MobileNet
- Summary
- Module 3: Introduction to Natural Language Processing with PyTorch
- Introduction
- Representing text as Tensors
- Represent words with embeddings
- Capture patterns with recurrent neural networks
- Generate text with recurrent networks
- Attention models and transformers
- Check your knowledge
- Summary
- Module 4: Introduction to Audio Classification with PyTorch
- Introduction
- Understand audio data and concepts
- Audio transforms and visualizations
- Build the speech model
- Summary
الذهاب الي الدورة
PyTorch Fundamentals
بواسطة:
N/A
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N/A
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مجانية
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الإنجليزية
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متاح شهادة
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متاح في أي وقت
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beginner
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N/A
