Download Udemy - Convolutional Neural Networks with TensorFlow in Python Torrent

Torrent Contents Size: 2.21 GB

Udemy - Convolutional Neural Networks with TensorFlow in Python

TutsNode.com.txt

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63 B

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[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python

01 Introduction to the course

001 What does the course cover_.en.srt	SRT	9.27 KB
001 What does the course cover_.mp4	MP4	57.87 MB
002 Why CNNs_.en.srt	SRT	5.73 KB
002 Why CNNs_.mp4	MP4	38.12 MB

02 Kernels

003 Introduction to image kernels.en.srt	SRT	4.25 KB
003 Introduction to image kernels.mp4	MP4	27.91 MB
004 How do image transformations work_.en.srt	SRT	10.57 KB
004 How do image transformations work_.mp4	MP4	52.73 MB
005 Kernels as matrices.en.srt	SRT	3.4 KB
005 Kernels as matrices.mp4	MP4	21.84 MB
006 Convolution - applying kernels.en.srt	SRT	3.48 KB
006 Convolution - applying kernels.mp4	MP4	26.26 MB
007 Edge handling.en.srt	SRT	3.98 KB
007 Edge handling.mp4	MP4	19.19 MB

03 CNN Introduction

008 CNNs motivation.en.srt	SRT	11.8 KB
008 CNNs motivation.mp4	MP4	61.29 MB
009 Feature maps.en.srt	SRT	11.18 KB
009 Feature maps.mp4	MP4	67.65 MB
010 Pooling and Stride.en.srt	SRT	8.98 KB
010 Pooling and Stride.mp4	MP4	57.93 MB
011 Dimensions.en.srt	SRT	4.42 KB
011 Dimensions.mp4	MP4	28.74 MB

04 Neural networks techniques (revision)

012 Activation functions.en.srt	SRT	7.05 KB
012 Activation functions.mp4	MP4	39.35 MB
013 Overfitting and early stopping.en.srt	SRT	3.12 KB
013 Overfitting and early stopping.mp4	MP4	19.28 MB
014 Optimizers.en.srt	SRT	4.12 KB
014 Optimizers.mp4	MP4	27.51 MB

05 Setting up the environment

015 Setting up the environment - Do not skip, please!.en.srt	SRT	1.39 KB
015 Setting up the environment - Do not skip, please!.mp4	MP4	5.27 MB
016 Why Python and why Jupyter_.en.srt	SRT	6.62 KB
016 Why Python and why Jupyter_.mp4	MP4	32.04 MB
017 Installing Anaconda.en.srt	SRT	5.28 KB
017 Installing Anaconda.mp4	MP4	28.15 MB
018 Jupyter Dashboard - Part 1.en.srt	SRT	3.13 KB
018 Jupyter Dashboard - Part 1.mp4	MP4	8.7 MB
019 Jupyter Dashboard - Part 2.en.srt	SRT	7.12 KB
019 Jupyter Dashboard - Part 2.mp4	MP4	18.79 MB
020 Installing the packages.en.srt	SRT	1.95 KB
020 Installing the packages.mp4	MP4	15.1 MB

06 CNN assembling - MNIST

021 Road plan.en.srt	SRT	5.1 KB
021 Road plan.mp4	MP4	24.13 MB
022 A simple CNN architecture.en.srt	SRT	16.36 KB
022 A simple CNN architecture.mp4	MP4	69.58 MB
023 Preprocessing the data.en.srt	SRT	16.23 KB
023 Preprocessing the data.mp4	MP4	62.1 MB
024 Building and training the CNN.en.srt	SRT	19.45 KB
024 Building and training the CNN.mp4	MP4	87.57 MB
025 Testing the trained CNN.en.srt	SRT	8.59 KB
025 Testing the trained CNN.mp4	MP4	45.12 MB
external-assets-links.txt	TXT	556 B

07 Tensorboard_ Visualization tool for TensorFlow

026 Tensorboard on the MNIST example.en.srt	SRT	17.19 KB
026 Tensorboard on the MNIST example.mp4	MP4	83.64 MB
027 Confusion matrix and visualizing it with Tensorboard.en.srt	SRT	20.45 KB
027 Confusion matrix and visualizing it with Tensorboard.mp4	MP4	109.51 MB
028 Using Tensorboard to tune hyperparameters.en.srt	SRT	14.07 KB
028 Using Tensorboard to tune hyperparameters.mp4	MP4	82.86 MB
external-assets-links.txt	TXT	519 B

08 Common techniques for better performance of NN

029 Introduction.en.srt	SRT	3.55 KB
029 Introduction.mp4	MP4	20.31 MB
030 Regularization.en.srt	SRT	7.08 KB
030 Regularization.mp4	MP4	42.15 MB
031 L2 Regularization and Weight Decay.en.srt	SRT	6.79 KB
031 L2 Regularization and Weight Decay.mp4	MP4	39.02 MB
032 Dropout.en.srt	SRT	5.25 KB
032 Dropout.mp4	MP4	36.3 MB
033 Data augmentation.en.srt	SRT	5.88 KB
033 Data augmentation.mp4	MP4	42.15 MB

09 A practical project_ Labelling fashion items

034 Introduction to the problem.en.srt	SRT	5.23 KB
034 Introduction to the problem.mp4	MP4	27.68 MB
035 The objective and the images.en.srt	SRT	6.62 KB
035 The objective and the images.mp4	MP4	47.16 MB
036 Converting images to arrays.en.srt	SRT	5.3 KB
036 Converting images to arrays.mp4	MP4	23.79 MB
037 Getting started with the code concepts.en.srt	SRT	4.71 KB
037 Getting started with the code concepts.mp4	MP4	27.11 MB
038 Primary classification task - Part 1.en.srt	SRT	8.54 KB
038 Primary classification task - Part 1.mp4	MP4	35.48 MB
039 Primary classification task - Part 2.en.srt	SRT	13.74 KB
039 Primary classification task - Part 2.mp4	MP4	60.52 MB
040 Primary classification task - Part 3.en.srt	SRT	7.52 KB
040 Primary classification task - Part 3.mp4	MP4	33.89 MB
041 Trousers and Jeans - discussion of approaches.en.srt	SRT	8.5 KB
041 Trousers and Jeans - discussion of approaches.mp4	MP4	53.48 MB
042 Trousers and Jeans - All.en.srt	SRT	15.75 KB
042 Trousers and Jeans - All.mp4	MP4	85.58 MB
043 Trousers and Jeans - Gender + Type.en.srt	SRT	6.17 KB
043 Trousers and Jeans - Gender + Type.mp4	MP4	26.28 MB
044 Trousers and Jeans - comparing the methods.en.srt	SRT	11.69 KB
044 Trousers and Jeans - comparing the methods.mp4	MP4	34.94 MB
045 L2 regularization and Dropout.en.srt	SRT	15.16 KB
045 L2 regularization and Dropout.mp4	MP4	81.46 MB
046 Data augmentation - Shoes All.en.srt	SRT	6.98 KB
046 Data augmentation - Shoes All.mp4	MP4	32.79 MB
external-assets-links.txt	TXT	1.19 KB

10 Understanding CNNs

	047 Unexpected failures.en.srt	SRT	10.9 KB
	047 Unexpected failures.mp4	MP4	72.87 MB

11 Popular CNN architectures

048 Introduction - the ILSVRC challenge.en.srt	SRT	2.18 KB
048 Introduction - the ILSVRC challenge.mp4	MP4	21.62 MB
049 AlexNet - CNN success.en.srt	SRT	4.91 KB
049 AlexNet - CNN success.mp4	MP4	38.72 MB
050 VGG - more layers.en.srt	SRT	4.17 KB
050 VGG - more layers.mp4	MP4	36.21 MB
051 GoogleNet - computational efficiency.en.srt	SRT	10.02 KB
051 GoogleNet - computational efficiency.mp4	MP4	71.3 MB
052 ResNet - revolution of depth.en.srt	SRT	7.75 KB
052 ResNet - revolution of depth.mp4	MP4	49.76 MB

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Udemy - Convolutional Neural Networks with TensorFlow in Python

Torrent Contents Size: 2.21 GB

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