Chuck Cho chuckcho

## c3d_ucf101_deploy_no-in-place-relu.prototxt
name: "c3d_ucf101"
input: "data"
input_shape {
  dim: 1
  dim: 3
  dim: 16
  dim: 112
  dim: 112
}

## Sports1M C3D Network to Keras.ipynb

      
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                chuckcho
                / Sports1M C3D Network to Keras.ipynb
            
            
              Created
              November 30, 2016 18:21
                — forked from albertomontesg/Sports1M C3D Network to Keras.ipynb
            
              
                C3D Model for Keras
              
          
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## googleNet_train_val_small_v2.prototxt
name: "sanchitNet: GoogleNet+C3D, v2"

# ----- video/label input -----
# ----- for training
layer {
  name: "data"
  type: "VideoData"
  top: "data"
  top: "label"
  video_data_param {

## bn_inception_anet_2016_temporal_deploy.prototxt
name: "bn_inception_anet_2016_temporal_deploy.prototxt"

####################################### data #######################################
input: "data"
input_dim: 1
input_dim: 10
input_dim: 224
input_dim: 224
####################################### conv1 #######################################
layer { name: "conv1/7x7_s2" type: "Convolution" bottom: "data" top: "conv1/7x7_s2"

## resnet200_anet_2016_deploy.prototxt
name: "resnet200_anet_2016_deploy.prototxt"
input: "data"
input_shape {
  dim: 1
  dim: 3
  dim: 224
  dim: 224
}
layer {
  name: "caffe.SpatialConvolution_0"

## MNISTAutoencoder
name: "MNISTAutoencoder"
layer {
  name: "data"
  type: "Data"
  top: "data"
  include {
    phase: TRAIN
  }
  transform_param {
    scale: 0.0039215684
	name: "c3d_ucf101"
	input: "data"
	input_shape {
	dim: 1
	dim: 3
	dim: 16
	dim: 112
	dim: 112
	}
	name: "sanchitNet: GoogleNet+C3D, v2"

	# ----- video/label input -----
	# ----- for training
	layer {
	name: "data"
	type: "VideoData"
	top: "data"
	top: "label"
	video_data_param {
	name: "bn_inception_anet_2016_temporal_deploy.prototxt"

	####################################### data #######################################
	input: "data"
	input_dim: 1
	input_dim: 10
	input_dim: 224
	input_dim: 224
	####################################### conv1 #######################################
	layer { name: "conv1/7x7_s2" type: "Convolution" bottom: "data" top: "conv1/7x7_s2"
	name: "resnet200_anet_2016_deploy.prototxt"
	input: "data"
	input_shape {
	dim: 1
	dim: 3
	dim: 224
	dim: 224
	}
	layer {
	name: "caffe.SpatialConvolution_0"
	name: "MNISTAutoencoder"
	layer {
	name: "data"
	type: "Data"
	top: "data"
	include {
	phase: TRAIN
	}
	transform_param {
	scale: 0.0039215684