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Learn Pytorch Cnn | Best Tutorials and Courses


Taught By: Jose Portilla
Duration: Approx. 14 hours to complete
Description: This course covers the following topics in Machine Learning which we can code using Tensorflow in Python: Installation and Setup of Tensorflow, Introduction to Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, AutoEncoders, Reinforcement Learning, GAN - Generative Adversarial Networks.
Prerequisite: You need to have basic knowledge in Python programming and basic knowledge of maths and statistics.
Taught By: Laurence Moroney
Duration: Approx. 30 hours to complete
Description: This course covers the following topics which we can code using TensorFlow in Python: Introduction to Computer Vision, Convolutional Neural Networks.
Prerequisite: This course requires experience in Python coding and intermediate level maths. Also, a brief knowledge about machine learning and deep learning will be helpful, but not required.
Taught By: Alex Aklson
Duration: Approx. 2 to 4 hours per week
Description: You will learn about Deep Learning basics, Artificial Neural Networks, Building Regression Models with Keras, Building Classification Models with Keras, Shallow and Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders.
Prerequisite: You need to know the basics of Machine Learning and Python programming.
Taught By: Alex Aklson
Duration: Approx. 8 hours to complete
Description: You will learn about Neural Networks and Deep Learning, Artificial Neural Networks, Building Deep Learning models with Keras, CNN, RNN, Autoencoders, Building a Deep Learning project with Keras.
Prerequisite: You need to know the basics of Machine Learning and Python programming.
Taught By: Soumith Chintala
Duration: Self-Paced
Description: You will learn about PyTorch basics, Autograd: Automatics Differentiation, Building Neural Networks with PyTorch, Training a Classifier with PyTorch.
Prerequisite: You need to know the basics of Machine Learning, Deep Learning, and Python programming.
Taught By: Luis Serrano
Duration: Approx. 2 months to complete
Description: You will learn about PyTorch basics, Use Pytorch to classify images, Convolutional Neural Networks, Style transfer, Recurrent Neural Networks, Natual Language Classification, Deploying with PyTorch.
Prerequisite: You need to know the basics of Machine Learning, Deep Learning, and Python programming.
Duration: Approx. 31 hours to complete
Description: You will learn about Tensors and Datasets, Linear Regression using PyTorch, Multiple Input Output Linear Regression, Logistic Regression for Classification, Softmax Regression, Shallow Neural Networks, Deep Networks, Convolutional Neural Networks.
Prerequisite: You need to know the basics of Machine Learning, Deep Learning, and Python programming.
Duration: Approx. 2 to 4 hours per week
Description: You will learn about Classification, Training Softmax with PyTorch, Basics of Neural Networks, Deep Neural Networks, Computer Vision Networks (Convolution, Max Pooling, etc.), Dimensionality Reduction, and Autoencoders.
Prerequisite: You need to know the basics of Machine Learning, Deep Learning, and Python programming.
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