Overview

Pytorch & Hugginface Deep Learning Course(Colab Hands-On) Welcome to Pytorch Deep Learning From Zero To Hero Series.If you have already mastered the basic syntax of python and don't know what to do next, this course will be a rocket booster to skyrocket your programming skill to a business applicable level.In this course, you will be able to master implementing deep neural network from the very beginning(simple perceptron) to BERT transfer learning/Google's T5 by using pytorch and huggingface yourself by colab. Each Section will have one assignment for you to think and code yourself. The Agenda is below. Agenda:IntroductionGoogle ColaboratoryNeuronPerceptronMake Your Perceptron TrainableNormalize DataActivation FunctionLoss FunctionGradient DescentElegant Pytorch Gradient DescentFinal ProjectFinal Project ExplainedMulti Layer Perceptron(MLP)One Hot EncodingPrepare data for MLPDefine MLPTrain & Evaluate MLPFinal Project for MLPFCNN ExplainedFCNN LOVE Letters Classification using MLPFinal Project For FCNNCNN ExplainedCNN Prepare data(Fashion MNIST) CNN Define Model CNN Train & Evaluate ModelCNNInferenceFinal Project For CNNRNN ExplainedRNN Prepare dataRNN Define ModelRNN Train ModelRNN InferenceBERT Sesame StreetBERT Prepare Data IMDBBERT Model definitionBERT Model TrainingBERT Model EvaluationBERT Model PredictionBERT Final ProjectT5 Prepare Data T5 Model definitionT5 Model TrainingT5 Model EvaluationT5 Model PredictionT5 Final ProjectLet's start our journey together.Beautiful is better than ugly.Explicit is better than implicit.Simple is better than complex.Complex is better than complicated.Flat is better than nested.Sparse is better than dense.Readability counts.Special cases aren't special enough to break the rules.Although practicality beats purity.Errors should never pass silently.Unless explicitly silenced.In the face of ambiguity, refuse the temptation to guess.There should be one- and preferably only one -obvious way to do it.Although that way may not be obvious at first unless you're Dutch.Now is better than never.Although never is often better than *right* now.If the implementation is hard to explain, it's a bad idea.If the implementation is easy to explain, it may be a good idea.Namespaces are one honking great idea - let's do more of those!

Skills

Reviews