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Artificial Intelligence Bundle - Computer Vision Special

Uteach Academy

Author

Uteach Academy

UTeach Academy

 

Learn basic of Filters to applying ML and then applying Deep Learning on Images.

Learn various approaches applied by our student on a project in “Student Practice Session”

For Theory - Watch Appendix.

Support :- 

Join this whatsapp group for any issue  https://chat.whatsapp.com/FeFvYqGUafi788iuoXJOnH or contact +91-7009247270 .

*COURSE VALIDITY- 1 YEAR.

*Course has multiple independent sections that can be skipped as per user expertise and choice.

Course program

Duration 88 h 7 m 19 s

videoImage processing and extraction56 m 2 s
videoDay 11 h 34 m 3 svideoDay 21 h 24 m 43 svideoDay 31 h 16 m 19 svideoDay 41 h 28 m 49 svideoDay 51 h 28 m 4 s
videoDeep Learning for Computer Vision0 s
videoIntroduction0 sFree
videoBlog Link0 sFreevideoIntroduction19 m 1 sFreevideoIntroduction - 211 m 32 sFreevideoPCA - 13 m 28 svideoPCA - 213 m 48 svideoPCA - 312 m 13 svideoPCA - 49 m 49 svideoEigen value and vector22 m 59 svideoDimensionality Reduction9 m 58 svideoVisualize MNIST Dataset4 m 47 svideoPCA Code0 svideoPCA for dimensionality reduction14 m 44 svideot-SNE6 m 25 svideoEmbedding6 m 25 svideot-SNE (continue)8 m 8 svideoCrowding Problem7 m 50 svideoApply t-SNE37 m 56 svideot-SNE on MNIST6 m 14 svideoCode Example8 m 2 svideoPROJECT - Face Recognition (Code )0 s
videoHistory24 m 23 sFreevideoBiological Neuron8 mFreevideoBiological Neuron - 216 m 7 svideoLogistic Regression16 m 40 svideoMLP0 svideoNotation17 m 51 svideoSingle neuron training27 m 53 svideoMLP Chain Rule39 m 57 svideoMLP Memoization13 m 26 svideoBackpropagation25 m 21 svideoActivation Functions16 m 58 svideoVanishing Gradient22 m 17 svideoBias Variance9 m 52 svideoDecision surfaces Playground14 m 17 svideoMLP 1980s15 m 40 svideoDropout and Regularization20 m 8 svideoReLU27 m 17 svideoWeight Intialization23 m 44 svideoBatch Normalization20 m 7 svideoOptimizer -10 svideoOptimizer -212 m 49 svideoSGD - 10 svideoSGD - 224 m 51 svideoNAS7 m 35 svideoAdaGrad14 m 58 svideoAdaDelta and RMSProp9 m 16 svideoAdam10 m 29 svideoWhich one to choose5 m 2 svideoGradient Checking9 m 40 svideoSoftmax and Cross-Entropy24 m 22 svideoDeep MLP Training7 m 38 svideoAuto Encoders26 m 21 svideoWord2Vec CBOW18 m 16 svideoWord2Vec Skip gram13 m 48 svideoWord2Vec Algorithmic Optimization11 m 27 svideoTensorflow and Keras - Introduction22 m 28 svideoGPU vs CPU23 m 4 s
videoSoftmax classifier31 m 49 sFreevideoMLP Initialization10 m 20 sFreevideoSigmoid Activation0 sFreevideoRelu Activation5 m 59 sFreevideoBatch Normilization7 m 22 svideoDropout4 m 8 svideoMNIST in Keras17 m 33 svideoHyperparamater Tuning10 m 18 s
videoOptimizer Choice0 svideoIntroduction17 m 4 svideoEdge Detection27 m 48 sFreevideoPadding and Stride18 m 34 svideoRGB Convolution10 m 46 svideoLayers23 m 2 svideoMax Pool11 m 49 svideoOptimization8 m 35 svideoLeNet9 m 42 svideoImageNet Dataset5 m 53 svideoAugementation7 m 6 svideoConvolution Layers16 m 43 svideoAlexNet12 m 56 svideoVGGNet10 m 32 svideoResidual Network21 m 18 svideoInception Network18 m 7 svideoTransfer Learning22 m 47 svideoCat Vs Dog14 m 15 svideoMNIST5 m 9 s
videoWhy RNN22 m 26 sFreevideoRNN28 m 58 sFreevideoRNN Backprop15 m 22 sFreevideoRNN Types13 m 49 svideoLSTM GRU9 m 51 svideoLSTM34 m 4 svideoGRU6 m 26 svideoDeep RNN6 m 16 svideoBidirectional RNN11 m 26 svideoIMDB Sentiment Classification32 m 12 svideoPROJECT - IMDB Sentiment Analysis (Code)0 s
videoReferences for resources0 svideoPROJECT - Github Repo Link (CODE)0 svideoProblem Definition13 m 34 sFreevideoDataset8 m 30 sFreevideoData Analysis4 m 17 svideoDash-cam images and steering angles5 m 22 svideoSplit the dataset Train vs Test2 m 53 svideoEDA Steering angles6 m 4 svideoMean Baseline model simple4 m 25 svideoDeep Learning for regression CNN, CNN+RNN9 m 18 svideoBatch load the dataset5 m 53 svideoNVIDIA’s end to end CNN model17 m 48 svideoTrain the model12 m 51 svideoTest and visualize the output10 m 57 sFree
videoReferences for resources0 svideoProblem statement14 m 23 svideoMusic representation17 m 6 svideoChar-RNN - 122 m 34 svideoChar-RNN - 240 m 12 svideoChar-RNN -30 svideoChar-RNN -411 m 9 svideoChar-RNN -513 mvideoChar-RNN -610 m 50 svideoChar-RNN -72 m 42 svideoMIDI music generation3 m 48 svideoSurvey blog4 m 19 s
videoReferences for Resources0 svideoProblem statement8 m 40 svideoDataset understanding21 m 35 svideoData cleaning & preprocessing3 m 36 svideoEDA Univariate analysis4 m 44 svideoEDA Data visualization using t-SNE4 m 45 svideoClassical ML models12 m 45 svideoDeep-learning Model14 m 12 s
videoIntroduction0 sFree
videoDrive link for PPT and codes0 s
videoPart 12 h 8 m 14 svideoPart 22 h 9 m 52 s
videoPart 12 h 28 m 15 sFreevideoPart 21 h 59 m 31 svideoPart 32 h 1 m 37 svideoPart 41 h 50 m 45 s
videoImage features2 h 52 m 59 svideoML on medical image1 h 27 m 36 s
videoPart 11 h 14 m 51 svideoPart 21 h 7 m 52 svideoPart 31 h 36 m 51 svideoPart 41 h 5 m 27 s
videoPart 10 svideoPart 20 svideoPart 2 (continue)41 m 19 svideoPart 31 h 41 svideoPart 450 m 39 svideoPart 51 h 35 m 22 s
videoIntroduction0 sFreevideoLecture Material0 svideoForecasting using Machine Learning Tools3 h 21 m 15 s
videoIntroduction0 sFreevideoTeaching Material0 svideoNLP Part - 16 h 42 m 1 svideoNLP Part - 27 h 31 m 35 s
videoResources0 s
videoPart 14 h 16 m 37 svideoPart 24 h 28 m 2 s
Artificial Intelligence Bundle - Computer Vision Special

The course will be available 360 Day

Artificial Intelligence Bundle - Computer Vision Special

Uteach Academy

Author

Uteach Academy

UTeach Academy

₹ 180₹ 500-64%
Buy now ₹ 180