{"id":5263,"date":"2024-11-27T07:07:51","date_gmt":"2024-11-27T07:07:51","guid":{"rendered":"https:\/\/coursesmantra.com\/?post_type=lp_course&#038;p=5263"},"modified":"2024-11-28T09:29:16","modified_gmt":"2024-11-28T09:29:16","slug":"artificial-intelligence-ai","status":"publish","type":"lp_course","link":"https:\/\/coursesmantra.com\/?lp_course=artificial-intelligence-ai","title":{"rendered":"Artificial Intelligence (AI)"},"content":{"rendered":"<h4>AI Basics (Theory)<\/h4>\n<ul>\n<li>Introduction and scope<\/li>\n<li>Understanding Intelligent agents<\/li>\n<li>Problem Solving e.g Adversarial Search<\/li>\n<li>Knowledge representation<\/li>\n<li>Probabilistic reasoning<\/li>\n<\/ul>\n<h4>Machine Learning foundation<\/h4>\n<ul>\n<li>Supervised Learning<\/li>\n<li>Unsupervised Learning &#8211; SVM<\/li>\n<li>Decision trees &#8211; Clustering<\/li>\n<li>Artificial Neural network<\/li>\n<li>Practical ML (hands on)<\/li>\n<\/ul>\n<h4>Deep Learning foundation<\/h4>\n<ul>\n<li>Introduction, motivation for deep learning<\/li>\n<li>Set up Anaconda, Jupyter Notebooks<\/li>\n<li>Applying Deep learning<\/li>\n<li>Regression<\/li>\n<\/ul>\n<h4>Neural networks<\/h4>\n<ul>\n<li>Maths refresher, Introduction to NumPy, Tensorflow &#8211; introduction<\/li>\n<li>Introduction to Neural Network : Covers in details Perceptron, Gradient descent, multilayered perceptron, Back propagation<\/li>\n<li>Build your first neural network<\/li>\n<li>Model evaluation and validation<\/li>\n<li>Project : Sentiment Analysis of movie reviews<\/li>\n<li>Develop a mini version of neural network library like Tensorflow<\/li>\n<\/ul>\n<h4>Convolutional Neural Networks<\/h4>\n<ul>\n<li>Intro to Tensorflow<\/li>\n<li>Using Cloud computing hardware for computations<\/li>\n<li>Deep Neural networks<\/li>\n<li>CNN &#8211; theory, how and why does it works ?<\/li>\n<li>Project : Build an Image classifier<\/li>\n<li>Image generation<\/li>\n<\/ul>\n<h4>Recurrent Neural Networks<\/h4>\n<ul>\n<li>Introduction to RNN<\/li>\n<li>Long Short Term memory<\/li>\n<li>LSTM Cell &#8211; detailed walkthrough and implementation<\/li>\n<li>Build a RNN<\/li>\n<li>Mini Project : Stock price prediction (self proctored)<\/li>\n<li>Embeddings and Word2Vec<\/li>\n<li>Sentiment prediction RNN<\/li>\n<li>Text summarization &#8211; using Keras<\/li>\n<li>Project : Generate TV Scripts<\/li>\n<li>Designing a Chatbot<\/li>\n<li>Buid a language translator<\/li>\n<\/ul>\n<h4>Generative Adversarial Networks (advanced)<\/h4>\n<ul>\n<li>Introduction to GAN<\/li>\n<li>How GANs work<\/li>\n<li>Games and Equilibria<\/li>\n<li>Build and train a GAN<\/li>\n<li>Project: Generate faces : Build 2 NNs to compete with each other to generate realisitic human faces<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>AI Basics (Theory) Introduction and scope Understanding Intelligent agents Problem Solving e.g Adversarial Search Knowledge representation Probabilistic reasoning Machine Learning 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