Table of Contents Neural Machine Translation with Luong’s Attention Using TensorFlow and Keras Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Luong’s Attention Encoder Architecture Decoder Architecture Input Feeding Approach Implementing Luong’s Attention Summary Citation…

Table of Contents Neural Machine Translation with Bahdanau’s Attention Using TensorFlow and Keras Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure RNN Encoder-Decoder Learning to Align and Translate Encoder Decoder Code Walkthrough Configuring the Prerequisites…

Table of Contents Neural Machine Translation Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? Probabilistic Overview of Neural Machine Translation Math Behind Neural Machine Translation What Lies Ahead? Dataset Summary Citation Information Neural Machine Translation In this…

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…

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…

Table of Contents Computer Graphics and Deep Learning with NeRF using TensorFlow and Keras: Part 3 Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure NeRF Assemble NeRF Trainer Custom Callback Tying It All Together Inference Summary…

In the past, we’ve worked with datasets that have been pre-compiled and labeled for us — but what if we wanted to go about creating our own custom dataset and then training a CNN on it? In this tutorial, I’ll…

In this tutorial, we will be building a complete end-to-end application that can detect smiles in a video stream in real-time using deep learning along with traditional computer vision techniques. To accomplish this task, we’ll be training the LetNet architecture…

Previously, we discussed how to save and serialize your models to disk after training is complete. We also learned how to spot underfitting and overfitting as they are happening, enabling you to kill off experiments that are not performing well…