New weights files: NASNet, DenseNet
fchollet released this on 16 Jan
Assets12
- densenet121_weights_tf_dim_ordering_tf_kernels.h532.5 MB
- densenet121_weights_tf_dim_ordering_tf_kernels_notop.h528.6 MB
- densenet169_weights_tf_dim_ordering_tf_kernels.h557.1 MB
- densenet169_weights_tf_dim_ordering_tf_kernels_notop.h550.7 MB
- densenet201_weights_tf_dim_ordering_tf_kernels.h580.2 MB
- densenet201_weights_tf_dim_ordering_tf_kernels_notop.h572.9 MB
- NASNet-large-no-top.h5328 MB
- NASNet-large.h5343 MB
- NASNet-mobile-no-top.h519.1 MB
- NASNet-mobile.h523.1 MB
- Source code(zip)
- Source code(tar.gz)
Centralizing the storage location of weights files referred to in the keras.applications module.
fchollet released this on 9 Sep 2017
Assets4
- inception_resnet_v2_weights_tf_dim_ordering_tf_kernels.h5215 MB
- inception_resnet_v2_weights_tf_dim_ordering_tf_kernels_notop.h5209 MB
- Source code(zip)
- Source code(tar.gz)
v0.7 Add inception_resnet_v2
fchollet released this on 1 Jul 2017 · 3 commits to master since this release
Assets34
- mobilenet_1_0_128_tf.h516.4 MB
- mobilenet_1_0_128_tf_no_top.h516.4 MB
- mobilenet_1_0_160_tf.h516.4 MB
- mobilenet_1_0_160_tf_no_top.h516.4 MB
- mobilenet_1_0_192_tf.h516.4 MB
- mobilenet_1_0_192_tf_no_top.h516.4 MB
- mobilenet_1_0_224_tf.h516.4 MB
- mobilenet_1_0_224_tf_no_top.h516.4 MB
- mobilenet_2_5_128_tf.h52.01 MB
- mobilenet_2_5_128_tf_no_top.h52.01 MB
- mobilenet_2_5_160_tf.h52.01 MB
- mobilenet_2_5_160_tf_no_top.h52.01 MB
- mobilenet_2_5_192_tf.h52.01 MB
- mobilenet_2_5_192_tf_no_top.h52.01 MB
- mobilenet_2_5_224_tf.h52.01 MB
- mobilenet_2_5_224_tf_no_top.h52.01 MB
- mobilenet_5_0_128_tf.h55.32 MB
- mobilenet_5_0_128_tf_no_top.h55.32 MB
- mobilenet_5_0_160_tf.h55.32 MB
- mobilenet_5_0_160_tf_no_top.h55.32 MB
- mobilenet_5_0_192_tf.h55.32 MB
- mobilenet_5_0_192_tf_no_top.h55.32 MB
- mobilenet_5_0_224_tf.h55.32 MB
- mobilenet_5_0_224_tf_no_top.h55.32 MB
- mobilenet_7_5_128_tf.h510.1 MB
- mobilenet_7_5_128_tf_no_top.h510.1 MB
- mobilenet_7_5_160_tf.h510.1 MB
- mobilenet_7_5_160_tf_no_top.h510.1 MB
- mobilenet_7_5_192_tf.h510.1 MB
- mobilenet_7_5_192_tf_no_top.h510.1 MB
- mobilenet_7_5_224_tf.h510.1 MB
- mobilenet_7_5_224_tf_no_top.h510.1 MB
- Source code(zip)
- Source code(tar.gz)
Code contributed by Somshubra Majumdar. Weights ported from tensorflow/models.
Keras 2 API, new Inception V3 weights
fchollet released this on 11 Mar 2017 · 6 commits to master since this release
Assets4
- inception_v3_weights_tf_dim_ordering_tf_kernels.h591.7 MB
- inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h583.8 MB
- Source code(zip)
- Source code(tar.gz)
v0.5 Update models to V2 API.
fchollet released this on 20 Oct 2016 · 9 commits to master since this release
Assets4
- xception_weights_tf_dim_ordering_tf_kernels.h587.6 MB
- xception_weights_tf_dim_ordering_tf_kernels_notop.h579.8 MB
- Source code(zip)
- Source code(tar.gz)
Add the Xception model with ImageNet weights.
on 1 Oct 2016
0.3 …
fchollet released this on 1 Oct 2016 · 12 commits to master since this release
Assets4
- music_tagger_crnn_weights_tf_kernels_tf_dim_ordering.h51.57 MB
- music_tagger_crnn_weights_tf_kernels_th_dim_ordering.h51.57 MB
- Source code(zip)
- Source code(tar.gz)
Add the music tagger CRNN by @keunwoochoi.
fchollet released this on 10 Aug 2016 · 15 commits to master since this release
Assets10
- inception_v3_weights_tf_dim_ordering_tf_kernels.h590.7 MB
- inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h582.9 MB
- inception_v3_weights_th_dim_ordering_th_kernels.h590.7 MB
- inception_v3_weights_th_dim_ordering_th_kernels_notop.h582.9 MB
- resnet50_weights_tf_dim_ordering_tf_kernels.h598.1 MB
- resnet50_weights_tf_dim_ordering_tf_kernels_notop.h590.3 MB
- resnet50_weights_th_dim_ordering_th_kernels.h598.1 MB
- resnet50_weights_th_dim_ordering_th_kernels_notop.h590.3 MB
- Source code(zip)
- Source code(tar.gz)
Merge branch 'master' of https://github.com/fchollet/deep-learning-mo… …dels
fchollet released this on 4 Aug 2016 · 19 commits to master since this release
Assets14
- resnet50_weights_tf_dim_ordering_tf_kernels.h598.1 MB
- resnet50_weights_tf_dim_ordering_tf_kernels_notop.h590.3 MB
- resnet50_weights_th_dim_ordering_th_kernels.h598.1 MB
- resnet50_weights_th_dim_ordering_th_kernels_notop.h590.3 MB
- vgg16_weights_tf_dim_ordering_tf_kernels.h5528 MB
- vgg16_weights_tf_dim_ordering_tf_kernels_notop.h556.2 MB
- vgg16_weights_th_dim_ordering_th_kernels.h5528 MB
- vgg16_weights_th_dim_ordering_th_kernels_notop.h556.2 MB
- vgg19_weights_tf_dim_ordering_tf_kernels.h5548 MB
- vgg19_weights_tf_dim_ordering_tf_kernels_notop.h576.4 MB
- vgg19_weights_th_dim_ordering_th_kernels.h5548 MB
- vgg19_weights_th_dim_ordering_th_kernels_notop.h576.4 MB
- Source code(zip)
- Source code(tar.gz)
Add code and weights for VGG16, VGG19, and ResNet50.