Master's Thesis

1. Chapter 3 Examined Research Papers: A Comprehensive Overview.

1.1. 3.0.1 Research Papers on Post-Training Quantization (PTQ)

1.1.1. 3.0.2 Research Papers on Quantization-Aware Training (QAT)

1.1.1.1. 3.0.3 Research Papers on Uniform Quantization

1.1.1.1.1. 3.0.4 Research Papers on Non-Uniform Quantization

1.1.1.1.2. Redo ALL the subsections mentioned in section 3.0.1

1.1.1.2. Redo ALL the subsections mentioned in section 3.0.1

1.1.2. Redo ALL the subsections mentioned in section 3.0.1

1.2. Subsection: A pie chart representing the neural networks used.

1.3. Subsection: A chart representing the width-bit used, either in W/A format ore separately for weights and activations

1.4. Subsection: A chart representing the top-1 accuracy of each neural network (here we can show how the accuracy increased over the years)

1.5. Subsection: A chart to compare the top-1 accuracy reached by this NNs with their baselines

1.6. Subsection: Methods who represent SOTA and through which NN and we can mention the Top-1 accuracy (we can create a chart here also)

1.7. Subsection: Methods who reached SOTA and through which NN and we can mention the Top-1 accuracy (we can create a chart here also)

1.8. Subsection: Methods who set a new SOTA and through which NN and we can mention the Top-1 accuracy (we can create a chart here also)