论文:Rethinking the Inception Architecture for Computer Vision 作者:Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna. Google, University College London 发表于:2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 6. ResNet-50 (2015) ⭐️创新点:...
model = Model(in_layer, preds) model.compile(loss="categorical_crossentropy", optimizer=opt, metrics=["accuracy"]) returnmodel if__name__ =='__main__': model = lenet_5() print(model.summary()) AlexNet — Krizhevsky et al 在2012年,Hinton的深度神经网络参加了世界上最重要的计算机...
这支持了前面提到的模型和学习框架应该一起考虑(both the model and learning framework should be considered together)的想法,特别是在涉及到自监督学习时。 Table 3. Co-design matters. When the architecture and the learning framework are co-designed and used together, masked image pre-training becomes ef...
LeNet. The first successful applications of Convolutional Networks were developed by Yann LeCun in 1990’s. Of these, the best known is theLeNetarchitecture that was used to read zip codes, digits, etc. AlexNet. The first work that popularized Convolutional Networks in Computer Vision was theA...
复合缩放策略 Compound Model Scaling 模型搜索 EfficientNet v2 Training-Aware NAS Progressive Learning Tips 总结 参考 简介 谷歌在19年提出的EfficientNet v1,从效果、参数量、速度方面均大幅超越了之前的网络。 在21年4月,谷歌团队又提出了优化版本EfficientNetV2,相比V1版本,其参数量更小,但训练速度更快。 Effici...
multiple scales. We use a similar strategy here. However, contrary to the fixed 2-layer deep model of [15], all filters in the Inception architecture are learned. Furthermore, Inception layers are repeated many times, leading to a 22-layer deep model in the case of the GoogLeNet model. ...
def create_DeepLab_model(input_shape, num_classes): model = Sequential([ Conv2D(64, (3, 3), activation='relu', padding='same', input_shape=input_shape), Conv2D(64, (3, 3), activation='relu', padding='same'), MaxPooling2D(pool_size=(2, 2)), ...
[4] Rethinking the Inception Architecture for Computer Vision [5] SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5MB model size [6] Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding ...
model.add(Dense(100,activation='relu')) model.add(Dense(10,activation='softmax')) return model 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 王者归来:AlexNet AlexNet在2012年ImageNet竞赛中以超过第二名10.9个百分点的绝对优势一举夺冠,从此深度学习和卷积神经网络名声鹊起,深度学习的研究如雨后春笋般出现,...
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