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5.1 The Forms of Machine Learning | Supervised, Unsupervised & Reinforcement Learning AIT 307
6:10
5.1 The Forms of Machine Learning | Supervised, Unsupervised & Reinforcement Learning AIT 307
AI and the Future of Art | The Future of Art - AI's Role in Creative Arts, Music, & Design Explained
8:11
AI and the Future of Art | The Future of Art - AI's Role in Creative Arts, Music, & Design Explained
Agentic AI for PDF Document Automation: Extract Structured Data with Python | Build PDF Agent
7:18
Agentic AI for PDF Document Automation: Extract Structured Data with Python | Build PDF Agent
OpenAI AgentKit: AI നിർമ്മിക്കാനുള്ള മാന്ത്രിക ടൂൾബോക്സ് | AgentKit Explained
5:41
OpenAI AgentKit: AI നിർമ്മിക്കാനുള്ള മാന്ത്രിക ടൂൾബോക്സ് | AgentKit Explained
4.14 AI Reasoning How Machines Think
7:36
4.14 AI Reasoning How Machines Think
4.13 Forward vs Backward Chaining in AI | AIT307 | Inference & Reasoning Explained
6:47
4.13 Forward vs Backward Chaining in AI | AIT307 | Inference & Reasoning Explained
4.6 AI Reasoning with First Order Logic | Inference, Knowledge & Real Applications | AIT 307
5:07
4.6 AI Reasoning with First Order Logic | Inference, Knowledge & Real Applications | AIT 307
4.12 AI Detective Backward Chaining in AI | Goal-Driven Reasoning & Knowledge-Based Systems
4:46
4.12 AI Detective Backward Chaining in AI | Goal-Driven Reasoning & Knowledge-Based Systems
4.11 Forward Chaining in AI: Step-by-Step Reasoning & Knowledge-Based Systems
5:42
4.11 Forward Chaining in AI: Step-by-Step Reasoning & Knowledge-Based Systems
Generative Adversarial Networks (GANs) in Malayalam
6:53
Generative Adversarial Networks (GANs) in Malayalam
4. 10 Resolution in AI: Logical Inference, Proof Techniques & Knowledge-Based Systems
8:14
4. 10 Resolution in AI: Logical Inference, Proof Techniques & Knowledge-Based Systems
4.9 Unification & Lifting in AI: Logic Programming and Automated Reasoning Explained
6:10
4.9 Unification & Lifting in AI: Logic Programming and Automated Reasoning Explained
4.7 Knowledge Representation in First Order Logic | AI Reasoning Made Simple
5:28
4.7 Knowledge Representation in First Order Logic | AI Reasoning Made Simple
4.8 Inference in AI | How AI Thinks Machine Logic | AIT307
5:03
4.8 Inference in AI | How AI Thinks Machine Logic | AIT307
4.5 Agents Based on Propositional Logic: Knowledge Representation & Reasoning | AIT 307
8:44
4.5 Agents Based on Propositional Logic: Knowledge Representation & Reasoning | AIT 307
4.4 Intro to Propositional Logic in AI : Fundamentals, Inference Rules & Applications AIT 307
7:17
4.4 Intro to Propositional Logic in AI : Fundamentals, Inference Rules & Applications AIT 307
4.3 Knowledge-Based Agents | Agents That Think | AIT307
6:45
4.3 Knowledge-Based Agents | Agents That Think | AIT307
5.6 Generative Adversarial Networks | Deep Learning
6:25
5.6 Generative Adversarial Networks | Deep Learning
5.5 Deep Belief Networks Explained | Architecture, Training & Applications
6:25
5.5 Deep Belief Networks Explained | Architecture, Training & Applications
5.4 Deep Belief Networks | Architecture, Training & Applications | DBNs A Deep Learning Pioneer
7:02
5.4 Deep Belief Networks | Architecture, Training & Applications | DBNs A Deep Learning Pioneer
5.3 Boltzmann Machines Explained | Fundamentals, Training & Real Applications
7:11
5.3 Boltzmann Machines Explained | Fundamentals, Training & Real Applications
5.2 Real-World Applications of Autoencoders | Practical Deep Learning Use Cases | The AI Copy Artist
7:06
5.2 Real-World Applications of Autoencoders | Practical Deep Learning Use Cases | The AI Copy Artist
5.1 Autoencoders Copy to Create | Explained | Fundamentals & Key Variants in Deep Learning
7:16
5.1 Autoencoders Copy to Create | Explained | Fundamentals & Key Variants in Deep Learning
4.3 The Evolution of Language AI | RNN Applications: Language Modeling, Sentiment Analysis & BERT
7:24
4.3 The Evolution of Language AI | RNN Applications: Language Modeling, Sentiment Analysis & BERT
4.2 Recurrent Neural Networks: GRU vs LSTM & Solving Gradient Problems Explained
8:16
4.2 Recurrent Neural Networks: GRU vs LSTM & Solving Gradient Problems Explained
4.1 Recurrent Neural Networks Explained: Architecture, Variants & Real-World Uses | Deep Learning
8:28
4.1 Recurrent Neural Networks Explained: Architecture, Variants & Real-World Uses | Deep Learning
4.0 A Network With Memory | Introduction to Recurrent Neural Networks (RNN) | Deep Learning
6:02
4.0 A Network With Memory | Introduction to Recurrent Neural Networks (RNN) | Deep Learning
3.9 Landmarks in AI Vision | Case Studies of CNN Architectures: AlexNet, ZFNet, VGGNet19 & ResNet-50
7:02
3.9 Landmarks in AI Vision | Case Studies of CNN Architectures: AlexNet, ZFNet, VGGNet19 & ResNet-50
4.2 Logical Agents in AI: Knowledge Representation & Reasoning Explained
6:22
4.2 Logical Agents in AI: Knowledge Representation & Reasoning Explained
4.1 The Logic of AI: How Machines Reason, Learn & Make Intelligent Decisions
6:05
4.1 The Logic of AI: How Machines Reason, Learn & Make Intelligent Decisions