
Natural Language processing
Natural Language processing (36h) String preprocessing (re) • Embedding & Word2Vec • RNN • LSTM & GRU • Text classification • LDA • Glove •
Home » Artificial intelligence
Natural Language processing (36h) String preprocessing (re) • Embedding & Word2Vec • RNN • LSTM & GRU • Text classification • LDA • Glove •
Computer vision (24h) Introduction to Computer Vision CNN Architecture Padding & Stride Convolutions Pooling Layers Convolutional Neural Networks & Datasets Multiclass classification Object Detection Non-max
Artificial Neural Networks (20h) Difference between AI, DL, ML and ANN Introduction to Neural Networks Deep Learning with Pytorch Linear Regression Binary Classification Logistic Regression
Data Preprocessing & OpenCv (24h) NumPy o Create Numpy Array o Indexing o Arithmetic and Logic o Universal Array Functions Pandas o Series o Data
Machine learning Diploma Module one: Python (24h) Basics o Why python? o python with AI and ML o Input & Output o Variables
Course content : 24 hr History why python? python with AI and ML Input & Output Variables Boolean & Comparison and Logic If Conditions For
Deep Learning diploma 80 HR Module one: Python why python? python with AI and ML Input & Output Variables Data types Boolean & Comparison and
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