Artificial Intelligence Bundle - Computer Vision Special

Duration 88 h 7 m 19 s

Available 360 days

Price

₹ 250 ₹ 750 Buy now
Artificial Intelligence Bundle - Computer Vision Special

About Course

 

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 content

videoImage processing and extraction56 m 2 s Start
videoDay 11 h 34 m 3 s Start
videoDay 21 h 24 m 43 s Start
videoDay 31 h 16 m 19 s Start
videoDay 41 h 28 m 49 s Start
videoDay 51 h 28 m 4 s Start
videoDeep Learning for Computer Vision0 s Start
videoIntroduction0 sFree
videoBlog Link0 sFree
videoIntroduction19 m 1 sFree
videoIntroduction - 211 m 32 sFree
videoPCA - 13 m 28 s Start
videoPCA - 213 m 48 s Start
videoPCA - 312 m 13 s Start
videoPCA - 49 m 49 s Start
videoEigen value and vector22 m 59 s Start
videoDimensionality Reduction9 m 58 s Start
videoVisualize MNIST Dataset4 m 47 s Start
videoPCA Code0 s Start
videoPCA for dimensionality reduction14 m 44 s Start
videot-SNE6 m 25 s Start
videoEmbedding6 m 25 s Start
videot-SNE (continue)8 m 8 s Start
videoCrowding Problem7 m 50 s Start
videoApply t-SNE37 m 56 s Start
videot-SNE on MNIST6 m 14 s Start
videoCode Example8 m 2 s Start
videoPROJECT - Face Recognition (Code )0 s Start
videoHistory24 m 23 sFree
videoBiological Neuron8 mFree
videoBiological Neuron - 216 m 7 s Start
videoLogistic Regression16 m 40 s Start
videoMLP0 s Start
videoNotation17 m 51 s Start
videoSingle neuron training27 m 53 s Start
videoMLP Chain Rule39 m 57 s Start
videoMLP Memoization13 m 26 s Start
videoBackpropagation25 m 21 s Start
videoActivation Functions16 m 58 s Start
videoVanishing Gradient22 m 17 s Start
videoBias Variance9 m 52 s Start
videoDecision surfaces Playground14 m 17 s Start
videoMLP 1980s15 m 40 s Start
videoDropout and Regularization20 m 8 s Start
videoReLU27 m 17 s Start
videoWeight Intialization23 m 44 s Start
videoBatch Normalization20 m 7 s Start
videoOptimizer -10 s Start
videoOptimizer -212 m 49 s Start
videoSGD - 10 s Start
videoSGD - 224 m 51 s Start
videoNAS7 m 35 s Start
videoAdaGrad14 m 58 s Start
videoAdaDelta and RMSProp9 m 16 s Start
videoAdam10 m 29 s Start
videoWhich one to choose5 m 2 s Start
videoGradient Checking9 m 40 s Start
videoSoftmax and Cross-Entropy24 m 22 s Start
videoDeep MLP Training7 m 38 s Start
videoAuto Encoders26 m 21 s Start
videoWord2Vec CBOW18 m 16 s Start
videoWord2Vec Skip gram13 m 48 s Start
videoWord2Vec Algorithmic Optimization11 m 27 s Start
videoTensorflow and Keras - Introduction22 m 28 s Start
videoGPU vs CPU23 m 4 s Start
videoSoftmax classifier31 m 49 sFree
videoMLP Initialization10 m 20 sFree
videoSigmoid Activation0 sFree
videoRelu Activation5 m 59 sFree
videoBatch Normilization7 m 22 s Start
videoDropout4 m 8 s Start
videoMNIST in Keras17 m 33 s Start
videoHyperparamater Tuning10 m 18 s Start
videoOptimizer Choice0 s Start
videoIntroduction17 m 4 s Start
videoEdge Detection27 m 48 sFree
videoPadding and Stride18 m 34 s Start
videoRGB Convolution10 m 46 s Start
videoLayers23 m 2 s Start
videoMax Pool11 m 49 s Start
videoOptimization8 m 35 s Start
videoLeNet9 m 42 s Start
videoImageNet Dataset5 m 53 s Start
videoAugementation7 m 6 s Start
videoConvolution Layers16 m 43 s Start
videoAlexNet12 m 56 s Start
videoVGGNet10 m 32 s Start
videoResidual Network21 m 18 s Start
videoInception Network18 m 7 s Start
videoTransfer Learning22 m 47 s Start
videoCat Vs Dog14 m 15 s Start
videoMNIST5 m 9 s Start
videoWhy RNN22 m 26 sFree
videoRNN28 m 58 sFree
videoRNN Backprop15 m 22 sFree
videoRNN Types13 m 49 s Start
videoLSTM GRU9 m 51 s Start
videoLSTM34 m 4 s Start
videoGRU6 m 26 s Start
videoDeep RNN6 m 16 s Start
videoBidirectional RNN11 m 26 s Start
videoIMDB Sentiment Classification32 m 12 s Start
videoPROJECT - IMDB Sentiment Analysis (Code)0 s Start
videoReferences for resources0 s Start
videoPROJECT - Github Repo Link (CODE)0 s Start
videoProblem Definition13 m 34 sFree
videoDataset8 m 30 sFree
videoData Analysis4 m 17 s Start
videoDash-cam images and steering angles5 m 22 s Start
videoSplit the dataset Train vs Test2 m 53 s Start
videoEDA Steering angles6 m 4 s Start
videoMean Baseline model simple4 m 25 s Start
videoDeep Learning for regression CNN, CNN+RNN9 m 18 s Start
videoBatch load the dataset5 m 53 s Start
videoNVIDIA’s end to end CNN model17 m 48 s Start
videoTrain the model12 m 51 s Start
videoTest and visualize the output10 m 57 sFree
videoReferences for resources0 s Start
videoProblem statement14 m 23 s Start
videoMusic representation17 m 6 s Start
videoChar-RNN - 122 m 34 s Start
videoChar-RNN - 240 m 12 s Start
videoChar-RNN -30 s Start
videoChar-RNN -411 m 9 s Start
videoChar-RNN -513 m Start
videoChar-RNN -610 m 50 s Start
videoChar-RNN -72 m 42 s Start
videoMIDI music generation3 m 48 s Start
videoSurvey blog4 m 19 s Start
videoReferences for Resources0 s Start
videoProblem statement8 m 40 s Start
videoDataset understanding21 m 35 s Start
videoData cleaning & preprocessing3 m 36 s Start
videoEDA Univariate analysis4 m 44 s Start
videoEDA Data visualization using t-SNE4 m 45 s Start
videoClassical ML models12 m 45 s Start
videoDeep-learning Model14 m 12 s Start
videoIntroduction0 sFree
videoDrive link for PPT and codes0 s Start
videoPart 12 h 8 m 14 s Start
videoPart 22 h 9 m 52 s Start
videoPart 12 h 28 m 15 sFree
videoPart 21 h 59 m 31 s Start
videoPart 32 h 1 m 37 s Start
videoPart 41 h 50 m 45 s Start
videoImage features2 h 52 m 59 s Start
videoML on medical image1 h 27 m 36 s Start
videoPart 11 h 14 m 51 s Start
videoPart 21 h 7 m 52 s Start
videoPart 31 h 36 m 51 s Start
videoPart 41 h 5 m 27 s Start
videoPart 10 s Start
videoPart 20 s Start
videoPart 2 (continue)41 m 19 s Start
videoPart 31 h 41 s Start
videoPart 450 m 39 s Start
videoPart 51 h 35 m 22 s Start
videoIntroduction0 sFree
videoLecture Material0 s Start
videoForecasting using Machine Learning Tools3 h 21 m 15 s Start
videoIntroduction0 sFree
videoTeaching Material0 s Start
videoNLP Part - 16 h 42 m 1 s Start
videoNLP Part - 27 h 31 m 35 s Start
videoResources0 s Start
videoPart 14 h 16 m 37 s Start
videoPart 24 h 28 m 2 s Start

Course Instructor

Uteach Academy

Uteach Academy

UTeach Academy