Pytorch Deep Learning

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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: Introduction Google Colaboratory Neuron Perceptron Make Your Perceptron Trainable Normalize Data Activation Function Loss Function Gradient Descent Elegant Pytorch Gradient Descent Final Project Final Project Explained Multi Layer Perceptron(MLP)One Hot Encoding Prepare data for MLPDefine MLPTrain & Evaluate MLPFinal Project for MLPFCNN Explained FCNN LOVE Letters Classification using MLPFinal Project For FCNNCNN Explained CNN Prepare data(Fashion MNIST) CNN Define Model CNN Train & Evaluate Model CNNInference Final Project For CNNRNN Explained RNN Prepare data RNN Define Model RNN Train Model RNN Inference BERT Sesame Street BERT Prepare Data IMDBBERT Model definition BERT Model Training BERT Model Evaluation BERT Model Prediction BERT Final Project T5 Prepare Data T5 Model definition T5 Model Training T5 Model Evaluation T5 Model Prediction T5 Final Project Let’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!