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In diesem Kurs gibt es 1 Modul
Step confidently into the world of generative AI with our expertly crafted online course, designed to equip you with both foundational knowledge and hands-on experience in cutting-edge deep learning techniques. This course guides you through the essential concepts of how computers interpret and generate images and text, starting with the basics of image representation and progressing through advanced architectures like convolutional neural networks and autoencoders. You’ll explore the power of variational autoencoders and diffusion models, learning how these state-of-the-art tools drive modern image generation and enhancement. With practical exercises using industry-standard libraries such as PyTorch and Hugging Face, you’ll gain direct experience building and deploying generative models for both images and text. The course culminates with an in-depth look at natural language processing pipelines and transformer architectures, empowering you to harness large language models for real-world applications. By the end, you’ll have developed a robust skill set in generative AI, ready to innovate in research, creative industries, or technology-driven businesses. Join us and unlock your potential in the rapidly evolving field of artificial intelligence.
This module explores how generative models process and create images and text. Learners will understand image representation, convolutional neural networks, and autoencoders, progressing to variational autoencoders for probabilistic image generation. The module introduces diffusion models and practical image generation using Hugging Face’s diffusers library, including advanced tasks like interpolation and restoration. Shifting to text, it covers natural language processing pipelines, word embeddings, and the transformer architecture, culminating in hands-on experience with large language models using the Hugging Face Transformers library. By the end, students gain both theoretical knowledge and practical skills in multimodal generative AI.
Das ist alles enthalten
44 Videos3 Aufgaben
Infos zu Modulinhalt anzeigen
44 Videos•Insgesamt 416 Minuten
Topics•1 Minute
Representing Images as Tensors•8 Minuten
Desiderata for Computer Vision•5 Minuten
Features of Convolutional Neural Networks•8 Minuten
Working with Images in Python•10 Minuten
The FashionMNIST Dataset•5 Minuten
Convolutional Neural Networks in PyTorch•11 Minuten
Components of a Latent Variable Model (LVM)•9 Minuten
The Humble Autoencoder•5 Minuten
Defining an Autoencoder with PyTorch•6 Minuten
Setting up a Training Loop•10 Minuten
Inference with an Autoencoder•4 Minuten
Look Ma, No Features!•8 Minuten
Adding Probability to Autoencoders (VAE)•5 Minuten
Variational Inference: Not Just for Autoencoders•7 Minuten
Transforming an Autoencoder into a VAE•13 Minuten
Training a VAE with PyTorch•14 Minuten
Exploring Latent Space•12 Minuten
Latent Space Interpolation and Attribute Vectors•13 Minuten
Topics•1 Minute
Generation as a Reversible Process•5 Minuten
Sampling as Iterative Denoising•4 Minuten
Diffusers and the Hugging Face Ecosystem•7 Minuten
Generating Images with Diffusers Pipelines•28 Minuten
Deconstructing the Diffusion Process•19 Minuten
Forward Process as Encoder•17 Minuten
Reverse Process as Decoder•7 Minuten
Interpolating Diffusion Models•9 Minuten
Image-to-Image Translation with SDEdit•8 Minuten
Image Restoration and Enhancement•11 Minuten
Topics•1 Minute
The Natural Language Processing Pipeline•13 Minuten
Generative Models of Language•10 Minuten
Generating Text with Transformers Pipelines•15 Minuten
Deconstructing Transformers Pipelines•8 Minuten
Decoding Strategies•13 Minuten
Transformers are Just Latent Variable Models for Sequences•12 Minuten
Visualizing and Understanding Attention•24 Minuten
Turning Words into Vectors•11 Minuten
The Vector Space Model•7 Minuten
Embedding Sequences with Transformers•10 Minuten
Computing the Similarity Between Embeddings•8 Minuten
Semantic Search with Embeddings•7 Minuten
Contrastive Embeddings with Sentence Transformers•7 Minuten
3 Aufgaben•Insgesamt 90 Minuten
Latent Space Rules Everything Around Me Quiz•30 Minuten
Demystifying Diffusion Quiz•30 Minuten
Generating and Encoding Text with Transformers Quiz•30 Minuten
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