Artificial Intelligence Bundle - Computer Vision Special

Uteach Academy

Author

Uteach Academy

UTeach Academy

 

 

SECTION 4 AND 5 IS FREE TO WATCH

 

Be expert in Computer Vision by applying  Filters . Learn Machine Learning and  Deep Learning on Images.

 

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

 

 

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 sFreevideoPCA - 213 m 48 sFreevideoPCA - 312 m 13 sFreevideoPCA - 49 m 49 sFreevideoEigen value and vector22 m 59 sFreevideoDimensionality Reduction9 m 58 sFreevideoVisualize MNIST Dataset4 m 47 sFreevideoPCA Code0 sFreevideoPCA for dimensionality reduction14 m 44 sFreevideot-SNE6 m 25 sFreevideoEmbedding6 m 25 sFreevideot-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 sFreevideoLogistic Regression16 m 40 sFreevideoMLP0 sFreevideoNotation17 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 sFreevideoPart 32 h 1 m 37 sFreevideoPart 41 h 50 m 45 sFree
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 sFree
videoIntroduction0 sFreevideoTeaching Material0 svideoNLP Part - 16 h 42 m 1 sFreevideoNLP Part - 27 h 31 m 35 sFree
videoResources0 s
videoPart 14 h 16 m 37 svideoPart 24 h 28 m 2 s
videoLinks0 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

₹ 75₹ 1000-93%
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