Search result for Courses taught by Vijay Gadhave

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Description of Deep Learning Courses
  • Deep Learning is a category of courses that focus on training neural networks to recognize patterns and make decisions based on data. These courses teach students about the fundamental principles of machine learning and how to apply them to solve complex problems.
Common Things Learned
  • In Deep Learning courses, students learn about neural networks, backpropagation, convolutional networks, recurrent networks, and generative models. They learn how to use deep learning frameworks such as TensorFlow and PyTorch to build and train models. They also learn about natural language processing, computer vision, and reinforcement learning. These courses emphasize the importance of data preprocessing and feature engineering to optimize models.
Typical Student
  • Typical students in Deep Learning courses are computer science majors or professionals who want to specialize in machine learning. They have a strong understanding of linear algebra, calculus, and probability theory. They are familiar with programming languages such as Python and have experience with data analysis and statistics.
 
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Deep Learning for Beginners in Python: Work On 12+ Projects

by Vijay Gadhave
  • 4.2
14.5 hours on-demand video
Work On 12+ Projects, Deep Learning Python, TensorFlow 2. 0, Neural Networks, NLP, Data Science, Machine Learning, More ! The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on....
$13.99
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Top Online Courses and Specializations | Coursera

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Find Courses and Specializations from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....

Coursera | Online Courses & Credentials From Top Educators. Join for Free

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Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....

Course Definition & Meaning - Merriam-Webster

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course: [noun] the act or action of moving in a path from point to point....

Free Online Courses | Stanford Online

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Free Online Courses. Our free online courses provide you with an affordable and flexible way to learn new skills and study new and emerging topics. Learn from Stanford instructors and industry experts at no cost to you....

Online Courses - Learn Anything, On Your Schedule | Udemy

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Udemy is an online learning and teaching marketplace with over 185,000 courses and 49 million students. Learn programming, marketing, data science and more....

Courses » Academics | Boston University

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Courses. The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times....

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Time
  • It takes about 3-6 months to get the fundamentals of Deep Learning, depending on the student's background knowledge. To become well adept in this topic, it can take up to a year or more. Students need to spend a considerable amount of time practicing and experimenting with different models and datasets to gain a deeper understanding of how Deep Learning works.
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Fields

  • Deep Learning is used in a variety of fields, including healthcare, finance, transportation, robotics, and more. In healthcare, Deep Learning is used to analyze medical images and diagnose diseases. In finance, it is used for fraud detection and portfolio optimization. In transportation, it is used for traffic prediction and autonomous vehicles. In robotics, it is used for object recognition and manipulation.

  • Related Fields
Careers

  • Deep Learning is needed in careers that involve data analysis, machine learning, and artificial intelligence. These careers include data scientist, machine learning engineer, artificial intelligence researcher, and computer vision engineer.

  • Examples of Common Careers
    • Data Scientist
    • Machine Learning Engineer
    • Artificial Intelligence Researcher
    • Computer Vision Engineer
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