Artificial Intelligence Tutorial | AI Tutorial For Beginners | Intellipaat
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In this Artificial Intelligence tutorial for beginners video you will learn the difference between ai, ml and dl, topology of neural network and how to train network with back propagation. Once you learn all these you will learn natural language processing with NLTK and Spacy pacckage in detail.
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📝This artificial intelligence training video helps you to learn following topics:
What makes humans intelligent? - 1:27
Machine Learning & it's types - 4:52
Supervised Learning - 5:30
Classification Algorithm - 7:40
Unsupervised Learning - 10:41
Unsupervised Algorithm - K-means Clustering - 11:19
Reinforcement Learning - 12:56
Limitations of Machine Learning - 16:24
Automatic Feature Extraction with Deep Learning - 17:12
Deep Learning with Artificial Neural Networks - 17:42
Perceptron - 18:44
Why do we need Weights? - 19:38
Perceptron Training Algorithm - 20:15
Benefits of using Artificial Neural Network - 21:01
Deep Learning Application - 22:47
Deep Learning Frameworks - 23:36
Tensorflow - 23:51
Keras - 25:09
PyTorch - 25:35
DL4J - 26:11
MXNet - 26:49
What are Tensors? - 27:29
Tensor Rank - 27:55
Computational Graph - 28:26
Program Elements in TensorFlow - 29:24
Constants - 29:36
Placeholder - 37:42
Variable - 43:44
Introduction to Neural Networks - 50:10
Activation Function - 1:09:36
Feed Forward Neural Network - 1:19:24
Multi Layer Perceptron - 1:37:31
Understanding Natural Language - 2:19:45
Components of Natural Language Processing - 2:20:44
Natural Language Understanding - 2:20:55
Natural Language Generation - 2:21:10
Packages for NLP - 2:21:24
Tokenization - 2:21:37
Uni-gram, Bi-gram and Tri-gram - 2:25:12
Stemming - 2:28:29
Lemmatization - 2:30:09
Part of Speech Tagging - 2:31:32
Named Entity Recognition - 2:34:08
Introduction to Spacy - 2:36:25
Sentiment Analysis using NLTK - 2:44:03
Quiz-1 - 3:03:43
Quiz-2 - 3:03:57
Quiz-3 - 3:04:11
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Why should you opt for a Artificial Intelligence career?
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