4.03 GB | 23min 56s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
FileName :001 Programming Generative AI Introduction.mp4 | Size: (24.87 MB)
FileName :001 Topics.mp4 | Size: (3.83 MB)
FileName :002 1 1 Generative AI in the Wild.mp4 | Size: (67.53 MB)
FileName :003 1 2 Defining Generative AI.mp4 | Size: (23.61 MB)
FileName :004 1 3 Multitudes of Media.mp4 | Size: (41.42 MB)
FileName :005 1 4 How Machines Create.mp4 | Size: (49.17 MB)
FileName :006 1 5 Formalizing Generative Models.mp4 | Size: (56.96 MB)
FileName :007 1 6 Generative versus Discriminative Models.mp4 | Size: (42.33 MB)
FileName :008 1 7 The Generative Modeling Trilemma.mp4 | Size: (31.2 MB)
FileName :009 1 8 Introduction to Google Colab.mp4 | Size: (115.35 MB)
FileName :001 Topics.mp4 | Size: (4.27 MB)
FileName :002 2 1 What Is PyTorch.mp4 | Size: (17.78 MB)
FileName :003 2 2 The PyTorch Layer Cake.mp4 | Size: (36.72 MB)
FileName :004 2 3 The Deep Learning Software Trilemma.mp4 | Size: (24 MB)
FileName :005 2 4 What Are Tensors, Really.mp4 | Size: (22.42 MB)
FileName :006 2 5 Tensors in PyTorch.mp4 | Size: (38.73 MB)
FileName :007 2 6 Introduction to Computational Graphs.mp4 | Size: (25.07 MB)
FileName :008 2 7 Backpropagation Is Just the Chain Rule.mp4 | Size: (34.72 MB)
FileName :009 2 8 Effortless Backpropagation with torch autograd.mp4 | Size: (55.79 MB)
FileName :010 2 9 PyTorch's Device Abstraction (i e , GPUs).mp4 | Size: (12.4 MB)
FileName :011 2 10 Working with Devices.mp4 | Size: (53.56 MB)
FileName :012 2 11 Components of a Learning Algorithm.mp4 | Size: (23.35 MB)
FileName :013 2 12 Introduction to Gradient Descent.mp4 | Size: (24.2 MB)
FileName :014 2 13 Getting to Stochastic Gradient Descent (SGD).mp4 | Size: (15 MB)
FileName :015 2 14 Comparing Gradient Descent and SGD.mp4 | Size: (29.22 MB)
FileName :016 2 15 Linear Regression with PyTorch.mp4 | Size: (129.91 MB)
FileName :017 2 16 Perceptrons and Neurons.mp4 | Size: (31.42 MB)
FileName :018 2 17 Layers and Activations with torch nn.mp4 | Size: (62.29 MB)
FileName :019 2 18 Multi-layer Feedforward Neural Networks (MLP).mp4 | Size: (46.68 MB)
FileName :001 Topics.mp4 | Size: (4.54 MB)
FileName :002 3 1 Representing Images as Tensors.mp4 | Size: (35.04 MB)
FileName :003 3 2 Desiderata for Computer Vision.mp4 | Size: (22.46 MB)
FileName :004 3 3 Features of Convolutional Neural Networks.mp4 | Size: (29.83 MB)
FileName :005 3 4 Working with Images in Python.mp4 | Size: (51.03 MB)
FileName :006 3 5 The FashionMNIST Dataset.mp4 | Size: (16.92 MB)
FileName :007 3 6 Convolutional Neural Networks in PyTorch.mp4 | Size: (40.25 MB)
FileName :008 3 7 Components of a Latent Variable Model (LVM).mp4 | Size: (36.54 MB)
FileName :009 3 8 The Humble Autoencoder.mp4 | Size: (19.92 MB)
FileName :010 3 9 Defining an Autoencoder with PyTorch.mp4 | Size: (20.11 MB)
FileName :011 3 10 Setting up a Training Loop.mp4 | Size: (33.95 MB)
FileName :012 3 11 Inference with an Autoencoder.mp4 | Size: (18.12 MB)
FileName :013 3 12 Look Ma, No Features!.mp4 | Size: (32.93 MB)
FileName :014 3 13 Adding Probability to Autoencoders (VAE).mp4 | Size: (17.57 MB)
FileName :015 3 14 Variational Inference Not Just for Autoencoders.mp4 | Size: (28.92 MB)
FileName :016 3 15 Transforming an Autoencoder into a VAE.mp4 | Size: (34.86 MB)
FileName :017 3 16 Training a VAE with PyTorch.mp4 | Size: (35.49 MB)
FileName :018 3 17 Exploring Latent Space.mp4 | Size: (40.63 MB)
FileName :019 3 18 Latent Space Interpolation and Attribute Vectors.mp4 | Size: (37.49 MB)
FileName :001 Topics.mp4 | Size: (4.52 MB)
FileName :002 4 1 Generation as a Reversible Process.mp4 | Size: (17.29 MB)
FileName :003 4 2 Sampling as Iterative Denoising.mp4 | Size: (19.96 MB)
FileName :004 4 3 Diffusers and the Hugging Face Ecosystem.mp4 | Size: (34.64 MB)
FileName :005 4 4 Generating Images with Diffusers Pipelines.mp4 | Size: (97.61 MB)
FileName :006 4 5 Deconstructing the Diffusion Process.mp4 | Size: (81.29 MB)
FileName :007 4 6 Forward Process as Encoder.mp4 | Size: (67.45 MB)
FileName :008 4 7 Reverse Process as Decoder.mp4 | Size: (28.51 MB)
FileName :009 4 8 Interpolating Diffusion Models.mp4 | Size: (49.31 MB)
FileName :010 4 9 Image-to-Image Translation with SDEdit.mp4 | Size: (27.56 MB)
FileName :011 4 10 Image Restoration and Enhancement.mp4 | Size: (38.06 MB)
FileName :001 Topics.mp4 | Size: (4.01 MB)
FileName :002 5 1 The Natural Language Processing Pipeline.mp4 | Size: (44.54 MB)
FileName :003 5 2 Generative Models of Language.mp4 | Size: (39.8 MB)
FileName :004 5 3 Generating Text with Transformers Pipelines.mp4 | Size: (48.1 MB)
FileName :005 5 4 Deconstructing Transformers Pipelines.mp4 | Size: (30.54 MB)
FileName :006 5 5 Decoding Strategies.mp4 | Size: (37.7 MB)
FileName :007 5 6 Transformers are Just Latent Variable Models for Sequences.mp4 | Size: (42.94 MB)
FileName :008 5 7 Visualizing and Understanding Attention.mp4 | Size: (56.29 MB)
FileName :009 5 8 Turning Words into Vectors.mp4 | Size: (51.75 MB)
FileName :010 5 9 The Vector Space Model.mp4 | Size: (24.15 MB)
FileName :011 5 10 Embedding Sequences with Transformers.mp4 | Size: (30.25 MB)
FileName :012 5 11 Computing the Similarity Between Embeddings.mp4 | Size: (23.57 MB)
FileName :013 5 12 Semantic Search with Embeddings.mp4 | Size: (23.3 MB)
FileName :014 5 13 Contrastive Embeddings with Sentence Transformers.mp4 | Size: (20.23 MB)
FileName :001 Topics.mp4 | Size: (4.22 MB)
FileName :002 6 1 Components of a Multimodal Model.mp4 | Size: (16.06 MB)
FileName :003 6 2 Vision-Language Understanding.mp4 | Size: (38.14 MB)
FileName :004 6 3 Contrastive Language-Image Pretraining.mp4 | Size: (20.81 MB)
FileName :005 6 4 Embedding Text and Images with CLIP.mp4 | Size: (41.24 MB)
FileName :006 6 5 Zero-Shot Image Classification with CLIP.mp4 | Size: (11.95 MB)
FileName :007 6 6 Semantic Image Search with CLIP.mp4 | Size: (40.9 MB)
FileName :008 6 7 Conditional Generative Models.mp4 | Size: (24.74 MB)
FileName :009 6 8 Introduction to Latent Diffusion Models.mp4 | Size: (33.43 MB)
FileName :010 6 9 The Latent Diffusion Model Architecture.mp4 | Size: (23.43 MB)
FileName :011 6 10 Failure Modes and Additional Tools.mp4 | Size: (29.2 MB)
FileName :012 6 11 Stable Diffusion Deconstructed.mp4 | Size: (37.8 MB)
FileName :013 6 12 Writing Our Own Stable Diffusion Pipeline.mp4 | Size: (31.76 MB)
FileName :014 6 13 Decoding Images from the Stable Diffusion Latent Space.mp4 | Size: (14.03 MB)
FileName :015 6 14 Improving Generation with Guidance.mp4 | Size: (26.07 MB)
FileName :016 6 15 Playing with Prompts.mp4 | Size: (120.71 MB)
FileName :001 Topics.mp4 | Size: (4.25 MB)
FileName :002 7 1 Methods and Metrics for Evaluating Generative AI.mp4 | Size: (22.35 MB)
FileName :003 7 2 Manual Evaluation of Stable Diffusion with DrawBench.mp4 | Size: (54.21 MB)
FileName :004 7 3 Quantitative Evaluation of Diffusion Models with Human Preference Predictors.mp4 | Size: (63.47 MB)
FileName :005 7 4 Overview of Methods for Fine-Tuning Diffusion Models.mp4 | Size: (22.83 MB)
FileName :006 7 5 Sourcing and Preparing Image Datasets for Fine-Tuning.mp4 | Size: (23.58 MB)
FileName :007 7 6 Generating Automatic Captions with BLIP-2.mp4 | Size: (21.46 MB)
FileName :008 7 7 Parameter Efficient Fine-Tuning with LoRA.mp4 | Size: (45.43 MB)
FileName :009 7 8 Inspecting the Results of Fine-Tuning.mp4 | Size: (16.02 MB)
FileName :010 7 9 Inference with LoRAs for Style-Specific Generation.mp4 | Size: (42.53 MB)
FileName :011 7 10 Conceptual Overview of Textual Inversion.mp4 | Size: (33.09 MB)
FileName :012 7 11 Subject-Specific Personalization with Dreambooth.mp4 | Size: (33.14 MB)
FileName :013 7 12 Dreambooth versus LoRA Fine-Tuning.mp4 | Size: (22.83 MB)
FileName :014 7 13 Dreambooth Fine-Tuning with Hugging Face.mp4 | Size: (47.62 MB)
FileName :015 7 14 Inference with Dreambooth to Create Personalized AI Avatars.mp4 | Size: (51.16 MB)
FileName :016 7 15 Adding Conditional Control to Text-to-Image Diffusion Models.mp4 | Size: (16.3 MB)
FileName :017 7 16 Creating Edge and Depth Maps for Conditioning.mp4 | Size: (58.39 MB)
FileName :018 7 17 Depth and Edge-Guided Stable Diffusion with ControlNet.mp4 | Size: (68.81 MB)
FileName :019 7 18 Understanding and Experimenting with ControlNet Parameters.mp4 | Size: (35.82 MB)
FileName :020 7 19 Generative Text Effects with Font Depth Maps.mp4 | Size: (7.07 MB)
FileName :021 7 20 Few Step Generation with Adversarial Diffusion Distillation (ADD).mp4 | Size: (33.79 MB)
FileName :022 7 21 Reasons to Distill.mp4 | Size: (18.06 MB)
FileName :023 7 22 Comparing SDXL and SDXL Turbo.mp4 | Size: (37.58 MB)
FileName :024 7 23 Text-Guided Image-to-Image Translation.mp4 | Size: (72.66 MB)
FileName :025 7 24 Video-Driven Frame-by-Frame Generation with SDXL Turbo.mp4 | Size: (78.73 MB)
FileName :026 7 25 Near Real-Time Inference with PyTorch Performance Optimizations.mp4 | Size: (32.17 MB)
FileName :001 Programming Generative AI Summary.mp4 | Size: (4.81 MB)]
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