Building Machine Learning Systems with TensorFlow Video | ED190BB2953AA5CD66A7215F1774B6BBFFD971DE

Building Machine Learning Systems with TensorFlow Video

Name	Building Machine Learning Systems with TensorFlow [Video]	DOWNLOAD Copy Link
Total Size	1.2 GB
Total Files	92
Hash	ED190BB2953AA5CD66A7215F1774B6BBFFD971DE

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1.1-The course Overview - Building Machine Learning Systems with TensorFlow [Video].mp4	13.2 MB
1.2-TensorFlows Main Data Structure – Tensors - Building Machine Learning Systems with TensorFlow [Video].mp4	20.6 MB
1.3-Handling the Computing Workflow – TensorFlows Data Flow Graph - Building Machine Learning Systems with TensorFlow [Video].mp4	15.0 MB
1.4-Basic Tensor Methods - Building Machine Learning Systems with TensorFlow [Video].mp4	31.0 MB
1.5-How TensorBoard Works - Building Machine Learning Systems with TensorFlow [Video].mp4	20.0 MB
1.6-Reading Information from Disk - Building Machine Learning Systems with TensorFlow [Video].mp4	16.5 MB
2.1-Learning from Data –Unsupervised Learning - Building Machine Learning Systems with TensorFlow [Video].mp4	5.1 MB
2.2-Mechanics of k-Means - Building Machine Learning Systems with TensorFlow [Video].mp4	7.0 MB
2.3-k-Nearest Neighbor - Building Machine Learning Systems with TensorFlow [Video].mp4	16.1 MB
2.4-Project 1 – k-Means Clustering on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4	16.8 MB
2.5-Project 2 – Nearest Neighbor on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4	8.8 MB
3.1-Univariate Linear Modelling Function - Building Machine Learning Systems with TensorFlow [Video].mp4	9.9 MB
3.2-Optimizer Methods in TensorFlow – The Train Module - Building Machine Learning Systems with TensorFlow [Video].mp4	6.3 MB
3.3-Univariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4	19.7 MB
3.4-Multivariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4	20.1 MB
4.1-Logistic Function Predecessor – The Logit Functions - Building Machine Learning Systems with TensorFlow [Video].mp4	7.7 MB
4.2-The Logistic Function - Building Machine Learning Systems with TensorFlow [Video].mp4	10.6 MB
4.3-Univariate Logistic Regression - Building Machine Learning Systems with TensorFlow [Video].mp4	26.3 MB
4.4-Univariate Logistic Regression with keras - Building Machine Learning Systems with TensorFlow [Video].mp4	10.6 MB
5.1-Preliminary Concepts - Building Machine Learning Systems with TensorFlow [Video].mp4	14.7 MB
5.2-First Project – Non-Linear Synthetic Function Regression - Building Machine Learning Systems with TensorFlow [Video].mp4	11.3 MB
5.3-Second Project – Modeling Cars Fuel Efficiency with Non-Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4	14.2 MB
5.4-Third Project – Learning to Classify Wines Multiclass Classification - Building Machine Learning Systems with TensorFlow [Video].mp4	11.8 MB
6.1-Origin of Convolutional Neural Networks - Building Machine Learning Systems with TensorFlow [Video].mp4	7.4 MB
6.2-Applying Convolution in TensorFlow - Building Machine Learning Systems with TensorFlow [Video].mp4	15.9 MB
6.3-Subsampling Operation –Pooling - Building Machine Learning Systems with TensorFlow [Video].mp4	9.4 MB
6.4-Improving Efficiency – Dropout Operation - Building Machine Learning Systems with TensorFlow [Video].mp4	6.1 MB
6.5-Convolutional Type Layer Building Methods - Building Machine Learning Systems with TensorFlow [Video].mp4	2.8 MB
6.6-MNIST Digit Classification - Building Machine Learning Systems with TensorFlow [Video].mp4	14.3 MB
6.7-Image Classification with the CIFAR10 Dataset - Building Machine Learning Systems with TensorFlow [Video].mp4	10.7 MB
7.1-Recurrent Neural Networks - Building Machine Learning Systems with TensorFlow [Video].mp4	7.3 MB
7.2-AFundamental Component – Gate Operation and Its Steps - Building Machine Learning Systems with TensorFlow [Video].mp4	8.2 MB
7.3-TensorFlow LSTM Useful Classes and Methods - Building Machine Learning Systems with TensorFlow [Video].mp4	4.5 MB
7.4-Univariate Time Series Prediction with Energy Consumption Data - Building Machine Learning Systems with TensorFlow [Video].mp4	11.4 MB
7.5-Writing Music a la Bach - Building Machine Learning Systems with TensorFlow [Video].mp4	31.9 MB
8.1-Deep Neural Network Definition and Architectures Through Time - Building Machine Learning Systems with TensorFlow [Video].mp4	5.4 MB
8.2-Alexnet - Building Machine Learning Systems with TensorFlow [Video].mp4	9.4 MB
8.3-Inception V3 - Building Machine Learning Systems with TensorFlow [Video].mp4	2.3 MB
8.4-Residual Networks (ResNet) - Building Machine Learning Systems with TensorFlow [Video].mp4	4.2 MB
8.5-Painting with Style – VGG Style Transfer - Building Machine Learning Systems with TensorFlow [Video].mp4	12.4 MB
9.1-Windows Installation - Building Machine Learning Systems with TensorFlow [Video].mp4	10.3 MB
9.2-MacOS Installation - Building Machine Learning Systems with TensorFlow [Video].mp4	10.6 MB
content.txt	4.0 KB
/Code/Section 1/.ipynb_checkpoints/
Section1-checkpoint.ipynb	2.9 MB
/Code/Section 1/
csv_1.0.py	0.7 KB
iris.csv	3.8 KB
Section1.ipynb	2.9 MB
/Code/Section 2/
Section2.ipynb	724.4 KB
/Code/Section 3/
Section3.ipynb	111.1 KB
utils.py	2.3 KB
/Code/Section 4/
CH4_Univariate_logistic_regression.ipynb	57.3 KB
CH4_Univariate_logistic_regression.py	4.0 KB
Univariate_logistic_regression_keras.ipynb	13.9 KB
Univariate_logistic_regression_keras.py	1.1 KB
/Code/Section 4/data/
CHD.csv	0.6 KB
/Code/Section 5/
CH5_linear_regression_nn.ipynb	20.2 KB
CH5_linear_regression_nn.py	2.0 KB
CH5_Nonlinear.ipynb	104.8 KB
CH5_Nonlinear.py	1.7 KB
Ch5_third_example.ipynb	28.1 KB
Ch5_third_example.py	1.9 KB
/Code/Section 5/data/
mpg.csv	17.7 KB
wine.csv	10.9 KB
/Code/Section 6/
CH6_CIFAR.ipynb	16.0 KB
CH6_convolution.ipynb	2.5 KB
CH6_convolution.py	1.4 KB
CH6_image_subsampling.ipynb	2.3 KB
CH6_image_subsampling.py	1.3 KB
CH6_Mnist_final.ipynb	88.3 KB
CH6_Mnist_final.py	4.8 KB
/Code/Section 6/data/
blue_jay.jpg	620.5 KB
leopard.jpg	146.1 KB
test.gif	97.4 KB
test2.gif	104.6 KB
/.../cifar-10-batches-bin/
batches.meta.txt	0.1 KB
data_batch_1.bin	30.7 MB
readme.html	0.1 KB
test_batch.bin	30.7 MB
/Code/Section 7/Code/
CH7_time_series.ipynb	153.7 KB
model.py	57.0 KB
sample.py	44.5 KB
train.py	2.5 KB
utils.py	54.1 KB
/Code/Section 7/Code/data/
elec_load.csv	2.4 MB
/Code/Section 8/.ipynb_checkpoints/
Cifar10-checkpoint.ipynb	2.8 KB
VGG retraining-checkpoint.ipynb	0.1 KB
/Code/Section 8/
content.jpg	185.8 KB
imagenet-vgg-verydeep-19.mat	576.0 MB
neural_style.py	8.7 KB
style.jpg	251.3 KB
stylize.py	8.9 KB
vgg.py	2.2 KB
Total files 92