Convolutional Neural Networks with TensorFlow in Python | E4999942E4F0958554D3B3A528FB80FF6E9F5B63

Convolutional Neural Networks with TensorFlow in Python

Name	Convolutional Neural Networks with TensorFlow in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.4 GB
Total Files	109
Last Seen	2025-06-06 23:45
Hash	E4999942E4F0958554D3B3A528FB80FF6E9F5B63

/.../07 Tensorboard_ Visualization tool for TensorFlow/
027 Confusion matrix and visualizing it with Tensorboard.mp4	114.8 MB
026 Tensorboard on the MNIST example.en.srt	17.6 KB
026 Tensorboard on the MNIST example.mp4	87.7 MB
027 Confusion matrix and visualizing it with Tensorboard.en.srt	20.9 KB
028 Using Tensorboard to tune hyperparameters.en.srt	14.4 KB
028 Using Tensorboard to tune hyperparameters.mp4	86.9 MB
external-assets-links.txt	0.5 KB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../01 Introduction to the course/
001 What does the course cover_.en.srt	9.5 KB
001 What does the course cover_.mp4	60.7 MB
002 Why CNNs_.en.srt	5.9 KB
002 Why CNNs_.mp4	40.0 MB
/02 Kernels/
003 Introduction to image kernels.en.srt	4.4 KB
003 Introduction to image kernels.mp4	29.3 MB
004 How do image transformations work_.en.srt	10.8 KB
004 How do image transformations work_.mp4	55.3 MB
005 Kernels as matrices.en.srt	3.5 KB
005 Kernels as matrices.mp4	22.9 MB
006 Convolution - applying kernels.en.srt	3.6 KB
006 Convolution - applying kernels.mp4	27.5 MB
007 Edge handling.en.srt	4.1 KB
007 Edge handling.mp4	20.1 MB
/.../03 CNN Introduction/
008 CNNs motivation.en.srt	12.1 KB
008 CNNs motivation.mp4	64.3 MB
009 Feature maps.en.srt	11.5 KB
009 Feature maps.mp4	70.9 MB
010 Pooling and Stride.en.srt	9.2 KB
010 Pooling and Stride.mp4	60.7 MB
011 Dimensions.en.srt	4.5 KB
011 Dimensions.mp4	30.1 MB
/.../04 Neural networks techniques (revision)/
012 Activation functions.en.srt	7.2 KB
012 Activation functions.mp4	41.3 MB
013 Overfitting and early stopping.en.srt	3.2 KB
013 Overfitting and early stopping.mp4	20.2 MB
014 Optimizers.en.srt	4.2 KB
014 Optimizers.mp4	28.8 MB
/.../05 Setting up the environment/
015 Setting up the environment - Do not skip, please!.en.srt	1.4 KB
015 Setting up the environment - Do not skip, please!.mp4	5.5 MB
016 Why Python and why Jupyter_.en.srt	6.8 KB
016 Why Python and why Jupyter_.mp4	33.6 MB
017 Installing Anaconda.en.srt	5.4 KB
017 Installing Anaconda.mp4	29.5 MB
018 Jupyter Dashboard - Part 1.en.srt	3.2 KB
018 Jupyter Dashboard - Part 1.mp4	9.1 MB
019 Jupyter Dashboard - Part 2.en.srt	7.3 KB
019 Jupyter Dashboard - Part 2.mp4	19.7 MB
020 Installing the packages.en.srt	2.0 KB
020 Installing the packages.mp4	15.8 MB
/.../06 CNN assembling - MNIST/
021 Road plan.en.srt	5.2 KB
021 Road plan.mp4	25.3 MB
022 A simple CNN architecture.en.srt	16.7 KB
022 A simple CNN architecture.mp4	73.0 MB
023 Preprocessing the data.en.srt	16.6 KB
023 Preprocessing the data.mp4	65.1 MB
024 Building and training the CNN.en.srt	19.9 KB
024 Building and training the CNN.mp4	91.8 MB
025 Testing the trained CNN.en.srt	8.8 KB
025 Testing the trained CNN.mp4	47.3 MB
external-assets-links.txt	0.6 KB
/.../08 Common techniques for better performance of NN/
029 Introduction.en.srt	3.6 KB
029 Introduction.mp4	21.3 MB
030 Regularization.en.srt	7.3 KB
030 Regularization.mp4	44.2 MB
031 L2 Regularization and Weight Decay.en.srt	7.0 KB
031 L2 Regularization and Weight Decay.mp4	40.9 MB
032 Dropout.en.srt	5.4 KB
032 Dropout.mp4	38.1 MB
033 Data augmentation.en.srt	6.0 KB
033 Data augmentation.mp4	44.2 MB
/.../09 A practical project_ Labelling fashion items/
034 Introduction to the problem.en.srt	5.4 KB
034 Introduction to the problem.mp4	29.0 MB
035 The objective and the images.en.srt	6.8 KB
035 The objective and the images.mp4	49.4 MB
036 Converting images to arrays.en.srt	5.4 KB
036 Converting images to arrays.mp4	24.9 MB
037 Getting started with the code concepts.en.srt	4.8 KB
037 Getting started with the code concepts.mp4	28.4 MB
038 Primary classification task - Part 1.en.srt	8.7 KB
038 Primary classification task - Part 1.mp4	37.2 MB
039 Primary classification task - Part 2.en.srt	14.1 KB
039 Primary classification task - Part 2.mp4	63.5 MB
040 Primary classification task - Part 3.en.srt	7.7 KB
040 Primary classification task - Part 3.mp4	35.5 MB
041 Trousers and Jeans - discussion of approaches.en.srt	8.7 KB
041 Trousers and Jeans - discussion of approaches.mp4	56.1 MB
042 Trousers and Jeans - All.en.srt	16.1 KB
042 Trousers and Jeans - All.mp4	89.7 MB
043 Trousers and Jeans - Gender + Type.en.srt	6.3 KB
043 Trousers and Jeans - Gender + Type.mp4	27.6 MB
044 Trousers and Jeans - comparing the methods.en.srt	12.0 KB
044 Trousers and Jeans - comparing the methods.mp4	36.6 MB
045 L2 regularization and Dropout.en.srt	15.5 KB
045 L2 regularization and Dropout.mp4	85.4 MB
046 Data augmentation - Shoes All.en.srt	7.1 KB
046 Data augmentation - Shoes All.mp4	34.4 MB
external-assets-links.txt	1.2 KB
/.../10 Understanding CNNs/
047 Unexpected failures.en.srt	11.2 KB
047 Unexpected failures.mp4	76.4 MB
/.../11 Popular CNN architectures/
048 Introduction - the ILSVRC challenge.en.srt	2.2 KB
048 Introduction - the ILSVRC challenge.mp4	22.7 MB
049 AlexNet - CNN success.en.srt	5.0 KB
049 AlexNet - CNN success.mp4	40.6 MB
050 VGG - more layers.en.srt	4.3 KB
050 VGG - more layers.mp4	38.0 MB
051 GoogleNet - computational efficiency.en.srt	10.3 KB
051 GoogleNet - computational efficiency.mp4	74.8 MB
052 ResNet - revolution of depth.en.srt	7.9 KB
052 ResNet - revolution of depth.mp4	52.2 MB
Total files 109