batch normalization

Convolutional neural network 3: convnets and overfitting

May 6, 2024January 31, 2020

Convolutional neural network is one of the most effective neural network architecture in the field of image classification. In the first part of the tutorial, we discussed the convolution operation and built a simple densely connected neural network, which we used to classify CIFAR-10 dataset, achieving accuracy of 47%. In the second part of the …

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ai AI Strategy anaconda artificial intelligence batch normalization blockchain cifar10 convnets convolutional neural networks data augmentation deep learning development environment digits dataset dropout fine tuning GPU huggingface internal covariate shift k-nn keras large language model LLMs logistic regression look-ahead masking lora machine learning mnist nlp numpy object detection overfitting padding masking peft python pytorch quantization scikit-learn self attention shape recognition tensorflow test dataset training dataset transformer architecture validation dataset YOLO

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