京东 11.11 红包
VGG 10
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吴恩达CNN1.4 Padding
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VGG04
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plt.rcParams
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VGG 07
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VGG05
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CNN: 4.4 triplet loss
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CNN: 4.4 triplet loss part 2
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2.03 残差网络 Residual network
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details of learning
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VGG 09
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data augmentation
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CNN: 3.8 Anchor boxes part1
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吴恩达CNN1.9池化层pooling layer 笔记
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VGG02
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CNN: convolutional sliding window implementation 01
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(中文) 掰开揉碎：initialization, covariance shift, batch normalization
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2.07 Inception network
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CNN: landmark detection
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AlexNet paper 03
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AlexNet paper 06
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AlexNet paper 05
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作业解读CNN3:YOLO non-max suppression
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CNN掰开揉碎：conv_layer, filter, feature map
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CNN: 4.8 neural style transfer cost function part 2
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CNN: 3.10 R-CNN region proposal part 2
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CNN: 4.5 face verification and binary classification
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2024公认最好的【吴恩达微调+私有化大模型】教程！更适合中国宝宝体质，全程干货无废话，学完成为大模型微调大佬！（附课件+代码）
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CNN: 3.10 R-CNN region proposal part1
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吴恩达同步最新AI课，第57讲：用亚马逊托管服务做智能体工作流-Serverless Agentic Workflows with Amazon Bedrock
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AlexNet paper 01
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saturating vs non-saturating non-linearities
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CNN: object detection (car)
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1.1 计算机视觉：问题和难点
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1.6 卷积中'卷'的体现之处 Convolution over volumes
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AlexNet paper 04
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CNN: 4.11 从2D到1D3D
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【整整200集】不愧是吴恩达，一口气把CNN、RNN、GAN、LSTM、YOLO、transformer等六大深度学习神经网路算法，新手小白秒上手！-人工智能
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np.pad
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对比pytorch, chainer (deep learning library) 更多关注
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作业解析CNN4.1: neural style transfer 02