Machine Learning using Tensorflow
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Course Contents
Concepts of Artificial intelligence
What is AI, Deep learning and Machine learning and how they’re related. Real World Case studies
Quick Overview of Python
Python programming, input and outputs in python, loop and conditional statements, file handling, using Arrays in Python. Graphs in Python. Using IDLE and Jupyter Notebook
What is Machine Learning
What is machine learning and what are the different machine learning algorithms. How they’re different. Installation of tensorflow and all related softwares in computer. Supervised and unsupervised learning. Reinforcement learning. Classification, regression and estimation
ML Project -1
Basics of Computer Vision algorithm, opening and closing image. Understanding Neural networks. Using frozen model for classification and running a desktop application for classifying objects
ML Project - 2
Machine Learning for object detection in scene, using the object detection module and perform python program for real time object detection
Mega ML Project
Create a custom machine learning model using real world objects, keys, toffees and likes and create a complete object recognition system. Image labeling, running the machine learning model training, and use the trained output model file for a real application. Requires higher processing power CPU+GPU

Eligibility:
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Working Professionals
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Students
What you will learn?
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Concepts of AI and Machine Learning
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Tensorflow
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Python Programming
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Understanding ML Concepts
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Neural Networks
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Using frozen models
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Training your own custom object detector
60 Minutes Daily 6-8 Weeks
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Industrial Project
Industrial Mega Project
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With hundred percent of Practical and hands on learning with project base challenges