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Categories Machine Learning

CDS Video Series | Sec05. NEURAL NETWORKS AND DEEP LEARNING

0(0 Ratings)
2,900.00

What I will learn?

  • Understanding diverse neural network architectures from scratch, no prerequisites needed.
  • Proficiency in implementing deep learning models using Keras and TensorFlow.
  • Application of learned skills in real-life scenarios and problem-solving.
  • Capability to create efficient, optimized deep learning models independently.

Course Curriculum

Video Lessons: Neural Networks and Deep Learning

  • Video 1: Introduction and Overviews
    05:23
  • Video 2: Deep Learning and ANNs
    01:22:01
  • Video 3: Deep Neural Network for Classification
    29:06
  • Video 4: Convolutional Neural Networks
    01:25:45
  • Video 5: Convolutional Neural Network for Image Classification
    01:05:12
  • Video 6: Recurrent Neural Network and LSTM Model
    21:39
  • Video 7: Sequence Modeling
    25:12
  • Video 8: Autoencoders and Image Reconstruction
    32:50
  • Video 9: GAN for Fake Image Generation
    25:06
  • Video 10: Neural Style Transfer
    41:15
  • Video 11: Real-Time Object Detection in Images and Videos
    16:28

Hands-on Implementations

Handout Notes on Neural Networks and Deep Learning

Gradient Descent

Artificial Neural Networks

Neural Networks

Backpropagation

Neural Network for Classification

ANN For Regression

Regularization in Neural Networks

Self Assessment

Testimonials

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Material Includes

  • Video lessons
  • Python codes
  • Handout notes
  • Self Assessment

Who Should Take this course?

  • Beginner to mid-career data professionals

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