Mastering AI Neural Nets, Vision System, Speech Recognition Specialization

[kingers]

4.66 GB | 00:00:15 | mp4 | 3840X2160 | 16:9
Genre:eLearning |Language:English

Files Included :
02 course-introduction.mp4 (13.11 MB)
04 speech-recognition-technology.mp4 (17.67 MB)
05 computer-vision-application.mp4 (21.26 MB)
07 ai-responsibility-pyramid.mp4 (18.98 MB)
09 evolution-of-speech-analysis.mp4 (15.26 MB)
10 what-is-opencv.mp4 (17.82 MB)
01 installing-opencv-on-windows.mp4 (11.09 MB)
01 operations-on-opencv.mp4 (8.79 MB)
04 demonstration-gaussian-blur.mp4 (21.56 MB)
05 demonstration-edge-detection-and-conversion.mp4 (21.36 MB)
06 demonstration-image-thresholding-binary-image.mp4 (17.13 MB)
07 demonstration-different-methods-of-thresholding.mp4 (24.79 MB)
08 demonstration-practical-use-cases.mp4 (10.48 MB)
09 what-is-adaptive-thresholding.mp4 (12.3 MB)
10 demonstration-of-global-adaptive-threshold.mp4 (14.6 MB)
01 morphological-operations.mp4 (15.41 MB)
02 morphological-operations-in-opencv.mp4 (11.78 MB)
03 demonstration-opening-dilation-and-erosion.mp4 (23.22 MB)
05 blackhat-and-whitehat-transformations.mp4 (15.11 MB)
06 demonstration-whitehat-tophat.mp4 (13.87 MB)
07 demonstration-blackhat.mp4 (18.22 MB)
01 summary-of-computer-vision-with-opencv.mp4 (23.1 MB)
01 video-processing.mp4 (8.46 MB)
05 demonstration-saving-the-frames.mp4 (32.23 MB)
06 demonstration-loading-the-data.mp4 (20.23 MB)
08 demonstration-histogram-matching.mp4 (27.07 MB)
11 demonstration-differences-in-images.mp4 (15.59 MB)
01 introduction-to-speech-audio-data.mp4 (11.02 MB)
03 processing-speech.mp4 (18.26 MB)
04 speech-production.mp4 (20.63 MB)
05 difficulties-in-analyzing-speech.mp4 (17.91 MB)
06 working-of-sound-waves.mp4 (14.68 MB)
07 adc-and-sample-rate-bit-rate.mp4 (12.01 MB)
09 demonstration-generating-sound.mp4 (33.68 MB)
10 demonstration-spectrogram.mp4 (27.63 MB)
12 summary-of-audio-file-analysis.mp4 (7.38 MB)
01 human-speech.mp4 (18.91 MB)
02 speech-waveform.mp4 (18.02 MB)
03 digital-signal-processing.mp4 (18.18 MB)
11 tremor-detection.mp4 (6.51 MB)
01 Traffic.mp4 (185.81 MB)
01 highway.mp4 (4.98 MB)
02 course-introduction.mp4 (14.8 MB)
03 machine-learning-in-industry.mp4 (15.59 MB)
04 how-companies-use-machine-learning.mp4 (18.89 MB)
01 machine-learning-process.mp4 (14.84 MB)
02 steps-in-machine-learning.mp4 (13.79 MB)
03 types-of-machine-learning.mp4 (21.81 MB)
01 introduction-to-linear-regression.mp4 (18.61 MB)
02 real-life-examples.mp4 (22.05 MB)
03 calculating-ols.mp4 (40.38 MB)
04 equation-of-ols.mp4 (16.29 MB)
05 assumptions-in-linear-regression.mp4 (22.41 MB)
06 demonstration-setting-up-the-model.mp4 (23.13 MB)
07 calculating-r-square-and-rmse.mp4 (28.36 MB)
08 residual-plot-and-q-q-plot.mp4 (9.96 MB)
09 cooks-distance.mp4 (22.59 MB)
10 real-life-examples-of-logistic-regression.mp4 (21.03 MB)
11 what-is-logistic-regression.mp4 (26.84 MB)
12 cost-function.mp4 (13.93 MB)
13 assumptions-in-logistic-regression.mp4 (19.09 MB)
14 demonstration-of-logistic-regression-transforming-data.mp4 (29.9 MB)
15 demonstration-of-logistic-regression-developing-the-model.mp4 (18.35 MB)
01 confusion-matrix.mp4 (12.22 MB)
02 example-for-calculating-confusion-matrix.mp4 (32.97 MB)
03 conditions-for-over-fitting-and-under-fitting.mp4 (14.45 MB)
04 overfitting-and-underfitting.mp4 (30.5 MB)
05 performance-metrics-mse-rmse-mae-mape.mp4 (26.41 MB)
06 r-square-rmsle-and-adjusted-r-square.mp4 (19.11 MB)
07 working-of-r-square.mp4 (23.97 MB)
08 significance-of-r-square.mp4 (29.25 MB)
01 summary-for-inception-of-machine-learning.mp4 (9.74 MB)
01 classification-in-machine-learning.mp4 (19.62 MB)
02 what-is-decision-tree.mp4 (32.56 MB)
03 decision-tree-entropy-and-information-gain.mp4 (29.62 MB)
04 step-by-step-building-of-decision-tree.mp4 (38.71 MB)
05 pruning-in-decision-tree.mp4 (26.68 MB)
06 demonstration-importing-data.mp4 (26.8 MB)
08 demonstration-importance-of-features.mp4 (14.1 MB)
09 demonstration-production-ready-random-forest.mp4 (10.99 MB)
10 demonstration-hyperparameter-tuning.mp4 (17.72 MB)
01 what-is-svm.mp4 (20.1 MB)
02 terminologies-in-svm.mp4 (42.91 MB)
03 hinge-loss-function-and-other-parameters.mp4 (43.01 MB)
04 demonstration-of-svm-exploring-the-data.mp4 (17.08 MB)
06 what-is-naive-bayes.mp4 (11.9 MB)
07 working-of-naive-bayes-bayes-theorem.mp4 (23.17 MB)
08 example-of-naive-bayes-algorithm.mp4 (37.67 MB)
09 demonstration-of-naive-bayes-code.mp4 (21.04 MB)
10 working-of-knn.mp4 (17.86 MB)
11 example-of-knn-algorithm.mp4 (23.3 MB)
12 demonstration-of-knn-setting-up-the-model.mp4 (28.2 MB)
14 demonstration-of-knn-creating-classifier.mp4 (15.24 MB)
01 dimensionality-reduction.mp4 (31.58 MB)
02 introduction-to-pca.mp4 (27.97 MB)
03 applying-pca.mp4 (23.87 MB)
04 eigen-values-and-eigen-vectors.mp4 (29.48 MB)
05 demonstration-initializing-pca.mp4 (13.78 MB)
07 demonstration-implementing-optimal-pca.mp4 (25.04 MB)
08 working-of-lda.mp4 (29.56 MB)
09 demonstration-of-lda.mp4 (32.12 MB)
01 summary-for-machine-learning-algorithms.mp4 (10.05 MB)
01 what-are-association-rules.mp4 (27.58 MB)
02 apriori-algorithm.mp4 (20.99 MB)
03 demonstrating-apriori-algorithm.mp4 (48.01 MB)
01 what-are-recommendation-engine.mp4 (22.26 MB)
02 cbf.mp4 (21.73 MB)
04 demonstration-testing-the-model.mp4 (27.23 MB)
01 course-summary-for-applied-machine-learning-with-python.mp4 (11.91 MB)
02 course-introduction.mp4 (16.72 MB)
03 environment-configuration.mp4 (11.19 MB)
01 machine-learning-vs-deep-learning.mp4 (20.38 MB)
02 what-is-deep-learning.mp4 (11.82 MB)
03 neural-networks.mp4 (24.43 MB)
04 artificial-neural-network-ann.mp4 (16.15 MB)
05 ann-types-and-applications.mp4 (11.34 MB)
06 forward-propagation.mp4 (13.19 MB)
07 perceptron.mp4 (20.54 MB)
08 learning-rate.mp4 (19.98 MB)
09 what-is-activation-function.mp4 (11.81 MB)
10 activation-function-and-its-types.mp4 (14.65 MB)
11 importance-of-epoch.mp4 (15.95 MB)
12 single-layer-perceptron-define-sigmoid-function.mp4 (25.28 MB)
13 single-layer-perceptron-decision-boundary.mp4 (42.76 MB)
01 limitations-of-single-layered-perceptron.mp4 (6.86 MB)
02 multi-layered-perceptron.mp4 (7.72 MB)
03 what-is-backpropagation.mp4 (6.49 MB)
04 backpropagation.mp4 (10.45 MB)
05 demonstration-building-a-simple-neural-network.mp4 (20.81 MB)
01 summary-of-deep-learning-components.mp4 (21.66 MB)
01 limitations-of-mlp.mp4 (16.37 MB)
03 visual-cortex-and-cnn.mp4 (20.59 MB)
04 convolutional-layer.mp4 (20.38 MB)
05 working-of-convolutional-layer.mp4 (20.38 MB)
07 demonstration-designing-the-model.mp4 (29.4 MB)
08 demonstration-building-the-cnn-model.mp4 (22.04 MB)
09 demonstration-model-accuracy.mp4 (12.09 MB)
10 demonstration-adding-more-layers.mp4 (34.12 MB)
12 demonstration-pre-trained-model.mp4 (21.2 MB)
03 tensorflow-hub.mp4 (12.52 MB)
01 summary-of-cnn-in-deep-learning.mp4 (8.47 MB)
02 summary-of-faster-rcnn.mp4 (13.77 MB)
01 rnn-fundamentals.mp4 (13.83 MB)
02 rnn-architecture.mp4 (13.94 MB)
04 implementing-rnn.mp4 (19.15 MB)
01 basics-of-lstm.mp4 (18.39 MB)
02 lstm-structure.mp4 (16.28 MB)
03 forget-gate-and-input-gate.mp4 (14.39 MB)
04 output-gate.mp4 (8.74 MB)
05 importance-of-lstm-architecture.mp4 (14.33 MB)
06 types-of-lstm.mp4 (12.05 MB)
08 demonstration-next-word-prediction-layers.mp4 (32.79 MB)
01 improving-a-model.mp4 (20.63 MB)
02 model-optimization.mp4 (13.69 MB)
03 using-adam-optimizer.mp4 (20.41 MB)
04 model-compilation.mp4 (9.68 MB)
01 course-summary-for-practical-deep-learning-with-python.mp4 (14.05 MB)
01 specialization-introduction.mp4 (16.16 MB)
03 course-introduction.mp4 (11.76 MB)
06 programming-language-and-myths.mp4 (20.15 MB)
07 python-for-ai-ml-code-simpliCity.mp4 (15.97 MB)
08 python-for-ai-ml-ease-of-learning.mp4 (15.14 MB)
09 python-tokens-types.mp4 (12.4 MB)
10 literals.mp4 (26.16 MB)
11 operators-basic-operators.mp4 (46.16 MB)
12 operators-membership-and-identity-operators.mp4 (22.48 MB)
01 explaining-data-types-in-python.mp4 (8.07 MB)
02 demonstration-of-data-types-numeric-sequence-and-mapping.mp4 (35.73 MB)
01 executing-conditional-statement.mp4 (22.98 MB)
02 demonstration-of-if-else-statement.mp4 (15.72 MB)
03 executing-while-loop.mp4 (15.38 MB)
04 demonstration-of-for-loop.mp4 (21.9 MB)
05 looping-multiple-conditions.mp4 (16.23 MB)
01 file-handling.mp4 (18.88 MB)
03 manipulating-files.mp4 (32.13 MB)
04 user-defined-functions.mp4 (30.87 MB)
05 variable-argument-and-variable-keyword-argument.mp4 (18.04 MB)
06 lambda-functions.mp4 (25.16 MB)
07 more-on-functions-and-arguments.mp4 (21.04 MB)
08 modules-in-python.mp4 (13.07 MB)
09 demonstration-of-modules.mp4 (19.7 MB)
01 summary-of-python-essentials.mp4 (7.49 MB)
02 exploring-numpy.mp4 (16.26 MB)
03 numpy-operation.mp4 (32.46 MB)
04 working-with-numpy.mp4 (35.89 MB)
02 pandas-framework.mp4 (20.7 MB)
03 pandas-dataframe-operation.mp4 (33.03 MB)
04 working-with-dataframes-in-pandas.mp4 (26.83 MB)
05 dataframes-with-pandas-operations-and-insights.mp4 (31.97 MB)
06 creating-a-series-in-pandas.mp4 (31.02 MB)
07 working-with-pandas-series.mp4 (22.04 MB)
01 dataframe-data-maniplulation.mp4 (25.83 MB)
02 dataframe-joining.mp4 (33.06 MB)
03 dataframe-grouping-the-data.mp4 (23.43 MB)
04 dataframe-data-cleaning.mp4 (22.07 MB)
05 dataframe-data-adjusting.mp4 (23.95 MB)
03 matplotlib-library.mp4 (21.62 MB)
04 plotting-charts-with-matplotlib.mp4 (19.97 MB)
05 plotting-histogram-and-box-plot.mp4 (11.14 MB)
06 plotting-multiple-charts.mp4 (29.4 MB)
07 introduction-to-seaborn-scatter-plot.mp4 (27.49 MB)
08 basic-charts-in-seaborn.mp4 (24.06 MB)
09 seaborn-heatmap-manipulation.mp4 (9.41 MB)
10 seaborn-flights-dataset.mp4 (18.83 MB)
11 seaborn-gaining-insights-in-flight-data.mp4 (23.94 MB)
12 visualizing-charts-with-plotly.mp4 (19.43 MB)
13 customizing-different-charts-in-plotly.mp4 (25.08 MB)
01 summary-exploring-numpy-and-pandas-in-python.mp4 (6.5 MB)
02 what-is-statistics.mp4 (19.13 MB)
03 measures-of-central-tendency.mp4 (22.62 MB)
04 managing-statistical-data.mp4 (22.04 MB)
05 exploring-and-analyzing-data.mp4 (14.78 MB)
01 measures-of-dispersion.mp4 (20.74 MB)
02 dispersion-demonstration.mp4 (25.14 MB)
03 application-of-dispersion-in-large-data.mp4 (8.37 MB)
02 probability-sample-space-and-events.mp4 (17.41 MB)
03 need-for-probability.mp4 (10.87 MB)
04 types-of-probability.mp4 (15.45 MB)
05 marginal-and-joint-probability-demonstration.mp4 (17.61 MB)
06 conditional-probability-demonstration.mp4 (18.8 MB)
02 what-is-hypothesis-testing.mp4 (20.23 MB)
03 steps-for-hypothesis-testing.mp4 (12.71 MB)
04 null-and-alternate-hypothesis.mp4 (20.5 MB)
05 statistical-test-interpretation.mp4 (22.22 MB)
06 one-tailed-and-two-tailed-test.mp4 (18.67 MB)
07 hypothesis-testing-demonstration.mp4 (23.02 MB)
08 margin-of-error-and-confidence-interval-demonstration.mp4 (35.07 MB)
01 summary-statistical-analysis-with-python.mp4 (7.98 MB)
01 course-summary-python-and-statistics-foundations.mp4 (10.54 MB)]
Screenshot

 https://rapidgator.net/file/59d74d1a7eadb4420f927d8c497c1a36/Coursera.-.Mastering.AI.Neural.Nets.Vision.System.Speech.Recognition.Specialization.part1.rar
https://rapidgator.net/file/01652ccbfa5b4f7d2d188a0543f3e706/Coursera.-.Mastering.AI.Neural.Nets.Vision.System.Speech.Recognition.Specialization.part2.rar
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https://rapidgator.net/file/d30b9e15e2f7d31e766e180efb402e28/Coursera.-.Mastering.AI.Neural.Nets.Vision.System.Speech.Recognition.Specialization.part4.rar
https://rapidgator.net/file/d79b3172402d59869af696da0bc7c29e/Coursera.-.Mastering.AI.Neural.Nets.Vision.System.Speech.Recognition.Specialization.part5.rar
https://rapidgator.net/file/0afc8408c31f45ec7491dc5c606db832/Coursera.-.Mastering.AI.Neural.Nets.Vision.System.Speech.Recognition.Specialization.part6.rar
https://rapidgator.net/file/6948feb779c65a7aa98e8527491eede3/Coursera.-.Mastering.AI.Neural.Nets.Vision.System.Speech.Recognition.Specialization.part7.rar