Introduction to Tensorflow for Artificial Intelligence | Tensorflow Basics in AI
Introduction to Tensorflow for Artificial Intelligence | Tensorflow Basics in AI
This new deeplearning.ai TensorFlow Specialization teaches you how to use ... Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep ... Welcome to this course on going from Basics to Mastery of TensorFlow
It is an introduction to TensorFlow as the course name implies it. Intermediate ... Summary: This course is the first course in TensorFlow in Practice Specialization offered by deeplearning.ai
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Topics Cover in This Course:
History Of AI, Demand For AI, What Is Artificial Intelligence?, AI Applications, Types Of AI, Programming Languages For AI, Introduction To Machine Learning, Need For Machine Learning, What Is Machine Learning?, Machine Learning Definitions, Machine Learning Process, Types Of Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Supervised vs Unsupervised vs Reinforcement Learning, Types Of Problems Solved Using Machine Learning, Supervised Learning Algorithms, Linear Regression, Linear Regression Demo, Logistic Regression, Decision Tree, Random Forest, Naive Bayes, K Nearest Neighbour (KNN), Support Vector Machine (SVM), Demo (Classification Algorithms), Unsupervised Learning Algorithms, K-means Clustering, Demo (Unsupervised Learning), Reinforcement Learning, Demo (Reinforcement Learning), AI vs Machine Learning vs Deep Learning, Limitations Of Machine Learning, Introduction To Deep Learning, How Deep Learning Works?, What Is Deep Learning?, Deep Learning Use Case, Single Layer Perceptron, Multi Layer Perceptron (ANN), Backpropagation, Training A Neural Network, Limitations Of Feed Forward Network, Recurrent Neural Networks, Convolutional Neural Networks, Demo (Deep Learning), Natural Language Processing, What Is Text Mining?, What Is NLP?, Applications Of NLP, Terminologies In NLP, NLP Demo, Machine Learning Masters Program