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Table of Contents Long Short-Term Memory Networks Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Modeling Sequential Data with RNNs The Problem with RNNs Long Short-Term Memory Networks Vanishing and Exploding Gradients Training and Visualizations…
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Table of Contents Introduction to Recurrent Neural Networks with Keras and TensorFlow Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure What Are Sequential Data A Caveat: Masking and Padding Modeling Sequential Data with MLPs The…
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Our entire review of machine learning and neural networks thus far has been leading up to this point: understanding Convolutional Neural Networks (CNNs) and the role they play in deep learning. In traditional feedforward neural networks, each neuron in the…
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Table of Contents Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series Introduction U-Net Framework Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data…
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Table of Contents Generating Faces Using Variational Autoencoders with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data Split Configuring the Prerequisites Defining the Data Utilities Defining…
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Table of Contents Implementing a Convolutional Autoencoder with PyTorch Configuring Your Development Environment Need Help Configuring Your Development Environment? Project Structure About the Dataset Overview Class Distribution Data Preprocessing Data Split Configuring the Prerequisites Defining the Utilities Extracting Random Images…
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Table of Contents Introduction to Autoencoders What Are Autoencoders? How Autoencoders Achieve High-Quality Reconstructions? Revisiting the Story Types of Autoencoder Vanilla Autoencoder Convolutional Autoencoder (CAE) Denoising Autoencoder Sparse Autoencoder Variational Autoencoder (VAE) Sequence-to-Sequence Autoencoder What Are the Applications of Autoencoders?…
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Table of Contents Training the YOLOv8 Object Detector for OAK-D Introduction A Primer on YOLOv8 Configuring Your Development Environment Need Help Configuring Your Development Environment? About the Dataset YOLOv8 Label Format Hand Gesture Recognition Dataset YOLOv8 Training Selecting the Model…
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Table of Contents What’s Behind PyTorch 2.0? TorchDynamo and TorchInductor (primarily for developers) Technology Behind PyTorch 2.0 TorchDynamo TorchInductor AOT Autograd PrimTorch Configuring Your Development Environment Installation Verification Need Help Configuring Your Development Environment? Project Structure Accelerating DNNs Using TorchDynamo…
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