1 “... techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10...”

2 “... search with a weight-sharing algorithm on two standard NAS benchmarks: PTB and CIFAR-10. Results show...”

3 Table of Contents: “...Chapter 1: MNIST: 1D Neural Network -- Chapter 2: MNIST: 2D Neural Network -- Chapter 3: CIFAR: 2D...”

4 Table of Contents: “...Chapter 1: MNIST: 1D Neural Network -- Chapter 2: MNIST: 2D Neural Network -- Chapter 3: CIFAR: 2D...”

5 “... methods. Then, the Fashion MNIST dataset will be used to train a CNN. CIFAR10 and Imagenet pre-trained...”

6

7 “... methods. Then, the Fashion MNIST dataset will be used to train a CNN. CIFAR10 and Imagenet pre-trained...”

8 Table of Contents: “... -- CIFAR-10 -- Summary -- Questions -- Further reading -- Chapter 5: Deep Learning Workflow -- Technical...”

9 “... Metaorganismen“ an der Universität Kiel und ist Fellow am Canadian Institute for Advanced Research (CIFAR) im...”

10 Table of Contents: “... requirements -- Implementing active ML for an image classification project -- Building a CNN for the CIFAR...”

11 Table of Contents: “... -- Wrapping Up -- Chapter 6. Model Creation Styles -- Using the Symbolic API -- Loading the CIFAR-10 Images...”

12 Table of Contents: “... the Network Structure; Define the Model Architecture; Building an Image Classifier with CIFAR-10 Data; Define...”

13 Table of Contents: “... Linear Unit; CNN Architecture; Training Classification CNN; Why CNNs; Training CNN on CIFAR10; Training a...”

14 “... with Raspberry Pi Pico Design a CIFAR-10 model for memory-constrained microcontrollers Run an image classifier...”

15 Table of Contents: “... -- A Higher Performing DARTS Model for CIFAR-10 -- Automatic speech recognition on the neutral network...”

16 Table of Contents: “... -- Inverse Autoregressive Flow -- Importing CIFAR -- Creating the network from TensorFlow 2 -- Summary...”

17 Table of Contents: “...: Learning from images -- 7.1 A dataset of tiny images -- 7.1.1 Downloading CIFAR-10 -- 7.1.2 The Dataset...”