Practical Convolutional Neural Networks > PACKT 원서리스트

Table of Contents

1: DEEP NEURAL NETWORKS – OVERVIEW
2: INTRODUCTION TO CONVOLUTIONAL NEURAL NETWORKS
3: BUILD YOUR FIRST CNN AND PERFORMANCE OPTIMIZATION
4: POPULAR CNN MODEL ARCHITECTURES
5: TRANSFER LEARNING
6: AUTOENCODERS FOR CNN
7: OBJECT DETECTION AND INSTANCE SEGMENTATION WITH CNN
8: GAN: GENERATING NEW IMAGES WITH CNN
9: ATTENTION MECHANISM FOR CNN AND VISUAL MODELS