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:lock:Deep Learning Mind : : (:unlock: Machine Learning Basics (Linear…
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Deep Learning Mind
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Mathematics for AI
Linear Algebra
Matrices and linear transformations
Matrix-Vector and Matrix-Matrix operations
Vectors and Vectors Operation
Vector projections, Dots products
Probability
Fundamentals of statistics & probability
Bayes Rule
Probability distribution basics
Calculus
Equations, Functions (log, exponent etc.), Graphs
Derivatives and partial derivatives
Chain rule
Optimization
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Tools for Machine Learning and Deep Learning
Keras
Sci-kit Learn
TensorFlow
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AI Programming with Python
Python
Numpy
Pandas
Matplotli
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Deep Learning Basics
Tuning Deep Neural Networks
Practical aspects of Deep Learning
Optimization Algorithm
Hyper parameter tuning, Batch Normalization, Programming Frameworks
Sequence Models (RNN, LSTM, GRU)
Natural Language Processing & Word Embedding
Sequence models & Attention mechanism
Recurrent Neural Networks
Neural Networks and Deep Learning
Neural Networks Basics
Shallow neural networks and back-propagation basics
Introduction to deep learning
Deep Neural Networks (MLP)
Convolution Neural Networks
Foundations of Convolutional Neural Networks
Deep convolutional models: case studies
Image classification
Object detection and localization
E.g.: Applications: Face recognition & Neural style transfer
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Machine Learning Basics
Linear Regression
Data exploration, preparation and cleaning
Gradient Descent & Stochastic Gradient Descent
Logistic Regression
Naive Bayes
Decision trees, Random forests
Clustering
PCA
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Cognitive APIs
Google Vision and Cloud API
Azure Cloud services
Azure cognitive services
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Engineering Aspects
REST API
Containerization Basics
Multiprocessing