Enroll in the "Deep Learning MasterClass" and embark on an exciting journey into the realm of deep learning. Whether you're a seasoned data scientist or a novice eager to dive into the world of artificial intelligence, this course equips you with the essential knowledge and skills to excel in the ever-evolving domain of deep learning.

Course Price:
Original price was: £194.00.Current price is: £19.99.
Course Duration:
4 hours, 2 minutes
Total Lectures:
35
Total Students:
41
Average Rating:
4.5
The "Deep Learning MasterClass" is your gateway to unlocking the fascinating world of deep learning and artificial neural networks. This comprehensive course provides the essential knowledge and practical skills needed to master the foundations of deep learning and its applications in various domains.

What Will You Learn?

  • Gain a deep understanding of the core concepts of deep learning.
  • Explore data manipulation and analysis using Numpy and Pandas, essential tools for deep learning.
  • Learn data visualization techniques with Matplotlib and Seaborn to communicate insights effectively.
  • Master the fundamentals of machine learning, setting the stage for deep learning.
  • Dive into the world of Artificial Neural Networks (ANN) and understand how they simulate human learning.
  • Discover Convolutional Neural Networks (CNN) for image recognition and processing.
  • Explore Recurrent Neural Networks (RNN) and their applications in sequential data analysis.

Who Should Take The Course?

  • Data scientists and machine learning enthusiasts eager to dive into the realm of deep learning.
  • Developers interested in incorporating deep learning into their applications and projects.
  • Researchers and academics looking to expand their knowledge of artificial neural networks.
  • Anyone curious about the cutting-edge technology transforming industries like healthcare, finance, and autonomous systems.

Requirements

  • A basic understanding of machine learning concepts is helpful but not mandatory.
  • Access to a computer for hands-on exercises and practical application.
  • Python programming knowledge is beneficial as the course heavily relies on Python for deep learning.
  • Enthusiasm to explore and excel in the field of deep learning and artificial neural networks.

Course Curriculum

    • Introduction 00:06:00
    • Introduction to Numpy 00:06:00
    • Creating Arrays 00:10:00
    • Shape and Reshape 00:11:00
    • Indexing 00:08:00
    • Introduction to Pandas 00:04:00
    • Pandas Series 00:04:00
    • DataFrame 00:06:00
    • ReadCSV 00:03:00
    • Analyze DataFrames 00:06:00
    • Introduction to Matplotlib 00:04:00
    • Different Plots in Matplotlib 00:09:00
    • Seaborn 00:11:00
    • Machine Learning Introduction 00:06:00
    • Supervised Machine Learning 00:04:00
    • Unsupervised Machine Learning 00:03:00
    • Train Test Split 00:03:00
    • Machine Learning LifeCycle 00:05:00
    • Working with Missing Values 00:09:00
    • Feature Scaling 00:07:00
    • Feature Encoding 00:11:00
    • Model Evaluation Metrics 00:07:00
    • Introduction to Artificial Neural Networks (ANN) 00:05:00
    • Activation Functions in Artificial Neural Networks 00:07:00
    • Optimizers 00:07:00
    • Gold Price Prediction using Artificial Neural Networks 00:09:00
    • Diabetes Prediction using Artificial Neural Network 00:08:00
    • CNN Introduction 00:09:00
    • Implementation of CNN using Keras and Tensorflow 00:13:00
    • RNN Introduction 00:08:00
    • Microsoft Stock Price Prediction using LSTM 00:07:00
    • Iterating 00:06:00
    • Slicing 00:08:00
    • Searching and Sorting 00:07:00
    • Order Certificate 00:05:00

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