A deep dive in deep learning ocean with Pytorch & TensorFlow
A comprehensive course about deep learning models with theory, intuition and implementation with Pytorch and TensorFlow
4.66 (54 reviews)
597
students
48.5 hours
content
Mar 2025
last update
$69.99
regular price
What you will 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
Screenshots
6044818
udemy ID
6/27/2024
course created date
7/16/2024
course indexed date
Bot
course submited by