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008190720s2019 enk o 000 0 eng d
019 ▼a 1104048338
020 ▼a 1789138264
020 ▼a 9781789138269 ▼q (electronic bk.)
035 ▼a 2153715 ▼b (N$T)
035 ▼a (OCoLC)1104082966 ▼z (OCoLC)1104048338
040 ▼a EBLCP ▼b eng ▼e pn ▼c EBLCP ▼d OCLCQ ▼d CHVBK ▼d OCLCO ▼d YDX ▼d OCLCF ▼d UKAHL ▼d OCLCQ ▼d VLY ▼d N$T ▼d 248032
049 ▼a MAIN
050 4 ▼a LB1060 ▼b .N365 2019
08204 ▼a 370.1523 ▼2 23
1001 ▼a Nanjappa, Ashwin.
24510 ▼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
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
500 ▼a Visualization using Netron
5050 ▼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
5058 ▼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
5058 ▼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
5058 ▼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
5058 ▼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.
5880 ▼a Print version record.
590 ▼a Added to collection customer.56279.3
650 0 ▼a Learning.
650 7 ▼a Learning. ▼2 fast ▼0 (OCoLC)fst00994826
655 4 ▼a Electronic books.
77608 ▼i Print version: ▼a Nanjappa, Ashwin. ▼t Caffe2 Quick Start Guide : Modular and Scalable Deep Learning Made Easy. ▼d Birmingham : Packt Publishing, Limited, 짤2019 ▼z 9781789137750
85640 ▼3 EBSCOhost ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2153715
938 ▼a Askews and Holts Library Services ▼b ASKH ▼n AH36368404
938 ▼a ProQuest Ebook Central ▼b EBLB ▼n EBL5784231
938 ▼a YBP Library Services ▼b YANK ▼n 300576227
938 ▼a EBSCOhost ▼b EBSC ▼n 2153715
990 ▼a 관리자
994 ▼a 92 ▼b N$T