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Udemy - Everything about Convolutional Neural Networks [2022]

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Udemy - Everything about Convolutional Neural Networks [2022] (Size: 2.6 GB)
  1. Backpropagation & Forward Pass.mp4 205.3 MB
  1. Backpropagation & Forward Pass.srt 20.9 KB
  1. Code Implementation of CNN.mp4 301.5 MB
  1. Code Implementation of CNN.srt 28.1 KB
  1. Course Resources.html 409.6 B
  1. Healthcare Case Study Implementation of an Image Classification Case Study.mp4 254.6 MB
  1. Healthcare Case Study Implementation of an Image Classification Case Study.srt 23.2 KB
  1. Understanding Deep Learning.mp4 89.1 MB
  1. Understanding Deep Learning.srt 7.9 KB
  1. What are Activation Functions.mp4 68 MB
  1. What are Activation Functions.srt 7 KB
  1. What is CNN.mp4 117.2 MB
  1. What is CNN.srt 10.1 KB
  2. Detailed Explanation of the CNN Architecture.mp4 243.4 MB
  2. Detailed Explanation of the CNN Architecture.srt 22.5 KB
  2. Explanation of Model Summary & Model Parameters.mp4 110.7 MB
  2. Explanation of Model Summary & Model Parameters.srt 9.8 KB
  2. Gradient Descent.mp4 105 MB
  2. Gradient Descent.srt 9.9 KB
  2. Introduction to CNN.mp4 21.8 MB
  2. Introduction to CNN.mp4.jpg?042148 159.4 KB
  2. Introduction to CNN.srt 2 KB
  2. Step Function.mp4 87.7 MB
  2. Step Function.srt 9.5 KB
  2. What is a Neuron.mp4 127.2 MB
  2. What is a Neuron.srt 11.3 KB
  3. Different Steps in CNN (Explained).mp4 170.2 MB
  3. Different Steps in CNN (Explained).srt 17.5 KB
  3. Linear Function.mp4 165.8 MB
  3. Linear Function.srt 16.7 KB
  4. Image Augmentation.mp4 199.1 MB
  4. Image Augmentation.srt 19.2 KB
  4. Sigmoid Function.mp4 89.6 MB
  4. Sigmoid Function.srt 9.4 KB
  5. Batch Size vs Iterations vs Epochs.mp4 117.5 MB
  5. Batch Size vs Iterations vs Epochs.srt 12.4 KB
  5. TanH Function.mp4 43.7 MB
  5. TanH Function.srt 4.8 KB
  6. Rectified Linear Unit (ReLU) Function.mp4 141.3 MB
  6. Rectified Linear Unit (ReLU) Function.srt 14.4 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 42 total files

Description


Everything about Convolutional Neural Networks [2022]
https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 20 lectures (3h 15m) | Size: 2.7 GB

Understand everything about CNN (Convolutional Neural Networks) from scratch

What you'll learn
Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning
Learn the various Neural Network concepts including Forward Pass, Back propagation, Activation functions etc.
Learn usage of Keras and Tensorflow libraries
Build an end-to-end Image Classification project in Python
Use Pandas DataFrames to manipulate data and make statistical computations.
Completely beginner friendly

Requirements
No prior knowledge on Deep Learning is required, but basic understanding of Machine Learning concepts is preferred, however the lectures are completely beginner friendly.
Python installation is a pre-requisite

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