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    Course Overview

    Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

    The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.

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    COURSES FEATURES

    Language          : English
    Lectures            : 01
    Certification     : Yes
    Project              : 01
    Duration           : 30 hrs
    Max-Students : 20
    • Why AI?
    • Introduction
    • How to get data from practice
    • Some Additional Resources!!
    • Fundamentals of Reinforcement Learning
    • Plan of Attack
    • What is reinforcement learning?
    • The Bellman Equation
    • The “Plan”
    • Markov Decision Process
    • Policy vs. Plan
    • Adding a “Living Penalty”
    • Q-Learning Intuition
    • Temporal Difference
    • Q-Learning Visualization
    • Part 1 – An Introduction how Self-Driving Car Works (Deep Q-Learning)
    • Plan of Attack
    • Deep Q-Learning Intuition – Learning
    • Deep Q-Learning Intuition – Acting
    • Experience Replay
    • Action Selection Policies
    • Plan of Attack (Practical Tutorials)
    • Where to get the Materials
    • Windows Option 1: End-to-End installation steps
    • Windows Option 2 – Part A: Installing Ubuntu on Windows
    • Windows Option 2 – Part B: Installing PyTorch and Kivy on your Ubuntu VM
    • Mac or Linux: Installing Anaconda
    • Mac or Linux: Installing PyTorch and Kivy
    • Common Debug Tips
    • Getting Started
    • Self Driving Car – (Step 1 to Step 2)
    • Self Driving Car – (Step 3 to Step 16)
    • Self Driving Car – (Level 1 to Level 4)
    • Challenge Solutions
    • What are convolutional neural networks and Convolutional Q-Learning?
    • Plan of Attack
    • Deep Convolutional Q-Learning Intuition
    • Eligibility Trace
    • Where to get the Materials
    • Installing Open AI Gym and ppaquette
    • Installing Open AI Gym Walk through (Mac Version)
    • Installing Open AI Gym Walk through (Ubuntu Version)
    • Common Debug Tips
    • Doom – (Step 1 to Step 17)
    • Watching our AI play Doom
    • Plan of Attack
    • The three A’s in A3C
    • Actor-Critic
    • Asynchronous
    • Advantage
    • LSTM Layer
    • Breakout – (Step 1 to Step 15)
    • What is Deep Learning?
    • Plan of Attack
    • The Neuron
    • The Activation Function
    • How do Neural Networks work?
    • How do Neural Networks learn?
    • Gradient Descent
    • Stochastic Gradient Descent
    • Backpropagation
    • Plan of Attack
    • What are convolutional neural networks?
    • Step 1 – Convolution Operation
    • Step 1(b) – ReLU Layer
    • Step 2 – Pooling
    • Step 3 – Flattening
    • Step 4 – Full Connection
    • Summary
    • Softmax & Cross-Entropy

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      Yes you will get Training videos during Online Training and it is compulsory to work at home to enhance real time scenarios. And yes instructor will provide Online Training study material during training tenure.

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      Feel free to reach us at Phone: +91 9553700070 or mail us at contact@techeclasses.com

      COURSES FEATURES

      Language          : English
      Lectures            : 03
      Certification     : Yes
      Project              : 01
      Duration           : 30 hrs
      Max-Students : 20
      Campus placements, Freshers, Beginners and Working Professionals. For more details enroll now and get a call from us.
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