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  ▼a  1104048338

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  ▼a  1789138264

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  ▼a  9781789138269
  ▼q  (electronic bk.)

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  ▼a  2153715
  ▼b  (N$T)

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  ▼a  (OCoLC)1104082966
  ▼z  (OCoLC)1104048338

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  ▼a  EBLCP
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  ▼a  LB1060
  ▼b  .N365 2019

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  ▼a  370.1523
  ▼2  23

• 100

  ▼a  Nanjappa, Ashwin.

• 245

  ▼a  Caffe2 Quick Start Guide:
  ▼b  Modular and Scalable Deep Learning Made Easy.

• 260

  ▼a  Birmingham:
  ▼b  Packt Publishing, Limited,
  ▼c  2019.

• 300

  ▼a  1 online resource (127 pages).

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

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  ▼a  computer
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  ▼a  online resource
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• 500

  ▼a  Visualization using Netron

• 505

  ▼a  Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Introduction and Installation; Introduction to deep learning; AI; ML; Deep learning; Introduction to Caffe2; Caffe2 and PyTorch; Hardware requirements; Software requirements; Building and installing Caffe2; Installing dependencies; Installing acceleration libraries; Building Caffe2; Installing Caffe2; Testing the Caffe2 Python API; Testing the Caffe2 C++ API; Summary; Chapter 2: Composing Networks; Operators; Example -- the MatMul operator; Difference between layers and operators

• 505

  ▼a  Example -- a fully connected operatorBuilding a computation graph; Initializing Caffe2; Composing the model network; Sigmoid operator; Softmax operator; Adding input blobs to the workspace; Running the network; Building a multilayer perceptron neural network; MNIST problem; Building a MNIST MLP network; Initializing global constants; Composing network layers; ReLU layer; Set weights of network layers; Running the network; Summary; Chapter 3: Training Networks; Introduction to training; Components of a neural network; Structure of a neural network; Weights of a neural network; Training process

• 505

  ▼a  Gradient descent variantsLeNet network; Convolution layer; Pooling layer; Training data; Building LeNet; Layer 1 -- Convolution; Layer 2 -- Max-pooling; Layers 3 and 4 -- Convolution and max-pooling; Layers 5 and 6 -- Fully connected and ReLU; Layer 7 and 8 -- Fully connected and Softmax; Training layers; Loss layer; Optimization layers; Accuracy layer; Summary; Chapter 4: Working with Caffe; The relationship between Caffe and Caffe2; Introduction to AlexNet; Building and installing Caffe; Installing Caffe prerequisites; Building Caffe; Caffe model file formats; Prototxt file; Caffemodel file

• 505

  ▼a  Downloading Caffe model filesCaffe2 model file formats; predict_net file; init_net file; Converting a Caffe model to Caffe2; Converting a Caffe2 model to Caffe; Summary; Chapter 5: Working with Other Frameworks; Open Neural Network Exchange; Installing ONNX; ONNX format; ONNX IR; ONNX operators; ONNX in Caffe2; Exporting the Caffe2 model to ONNX; Using the ONNX model in Caffe2; Visualizing the ONNX model; Summary; Chapter 6: Deploying Models to Accelerators for Inference; Inference engines; NVIDIA TensorRT; Installing TensorRT; Using TensorRT

• 505

  ▼a  Importing a pre-trained network or creating a networkBuilding an optimized engine from the network; Inference using execution context of an engine; TensorRT API and usage; Intel OpenVINO; Installing OpenVINO; Model conversion; Model inference; Summary; Chapter 7: Caffe2 at the Edge and in the cloud; Caffe2 at the edge on Raspberry Pi; Raspberry Pi; Installing Raspbian; Building Caffe2 on Raspbian; Caffe2 in the cloud using containers; Installing Docker; Installing nvidia-docker; Running Caffe2 containers; Caffe2 model visualization; Visualization using Caffe2 net_drawer

• 520

  ▼a  Caffe2 by Facebook is a popular and relatively lightweight deep learning framework. Caffe2 is known for speed, accuracy and high efficiency in training neural networks. Caffe2 is widely used in mobile apps. This book is a fast paced guide that will teach you how to train and deploy deep learning models with Caffe2 on resource constrained platforms.

• 588

  ▼a  Print version record.

• 590

  ▼a  Added to collection customer.56279.3

• 650

  ▼a  Learning.

• 650

  ▼a  Learning.
  ▼2  fast
  ▼0  (OCoLC)fst00994826

• 655

  ▼a  Electronic books.

• 776

  ▼i  Print version:
  ▼a  Nanjappa, Ashwin.
  ▼t  Caffe2 Quick Start Guide : Modular and Scalable Deep Learning Made Easy.
  ▼d  Birmingham : Packt Publishing, Limited, ©2019,
  ▼z  9781789137750

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2153715

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  ▼a  Askews and Holts Library Services
  ▼b  ASKH
  ▼n  AH36368404

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  ▼a  ProQuest Ebook Central
  ▼b  EBLB
  ▼n  EBL5784231

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  ▼a  YBP Library Services
  ▼b  YANK
  ▼n  300576227

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  ▼a  EBSCOhost
  ▼b  EBSC
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  ▼a  강리원

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  ▼a  eBook

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