Udemy – A deep dive in deep learning ocean with Pytorch & TensorFlow 2024-5

Udemy – A deep dive in deep learning ocean with Pytorch & TensorFlow 2024-5 Downloadly IRSpace

Udemy – A deep dive in deep learning ocean with Pytorch & TensorFlow 2024-5
Udemy – A deep dive in deep learning ocean with Pytorch & TensorFlow 2024-5

A deep dive in deep learning ocean with Pytorch & TensorFlow, Deep Learning and revolutionized Artificial Intelligence and data science. Deep Learning teaches computers to process data in a way that is inspired by the human brain. This is complete and comprehensive course on deep learning. This course covers the theory and intuition behind deep learning models and then implementing all the deep learning models both in Pytorch and Tensor flow. Practical Oriented explanations Deep Learning Models with implementation both in Pytorch and Tensor Flow. No need of any prerequisites. I will teach you everything from scratch.

What you’ll learn

  • Theory, Maths and Implementation of all the deep learning models
  • Pre-requisites for deep learning such as data preprocessing, Regression Analysis and Logistic Regression
  • Build Artificial Neural Networks and use them for Regression and Classification Problems
  • Using GPU with Deep Learning Models.
  • Creating our own custom loss functions and custom layers for deep learning models
  • Convolutional Neural Network ( CNN )
  • One Dimensional CNN
  • Setting early stopping criterion in deep learning models
  • Transfer Learning
  • Recurrent Neural Networks ( RNN )
  • Time series prediction and classification
  • Autoencoders and Variational Autoencoder ( VAE )
  • CNN Autoencoder and LSTM Autoencoder
  • Generative Adversarial Networks (GANs)
  • LSTM and Bidirectional LSTM
  • Transformer
  • Vision Transformer
  • Time Series Transformer
  • Neural Style Transfer
  • Implementation of deep learning models in Pytorch and Tensor Flow

Who this course is for

  • Beginners who want to learn Deep Learning from Scratch.
  • Students enrolled in Deep Learning course in universities and colleges.
  • Researchers in Deep Learning and Generative AI
  • Students and Researchers who want to develop Python Programming skills and want to implement deep learning models both in Pytorch and TensorFlow
  • For those who know how to implement deep learning in Matlab but want to switch to Pytorch and TensorFlow

Specificatoin of A deep dive in deep learning ocean with Pytorch & TensorFlow

  • Publisher : Udemy
  • Teacher : Zeeshan Ahmad
  • Language : English
  • Level : All Levels
  • Number of Course : 318
  • Duration : 48 hours and 29 minutes

Content on 2024-6

A deep dive in deep learning ocean with Pytorch & TensorFlow

Requirements

  • Some Programming Knowledge is preferable but not necessary
  • Gmail account ( For Google Colab )
  • Basic Maths

Pictures

A deep dive in deep learning ocean with Pytorch & TensorFlow

Sample Clip

Installation Guide

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Quality: 720p

Download Links

Download Part 1 – 3 GB

Download Part 2 – 3 GB

Download Part 3 – 3 GB

Download Part 4 – 3 GB

Download Part 5 – 3 GB

Download Part 6 – 2.22 GB

File size

17.22 GB