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Learn Keras 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.
Duration: Self-Paced
Description: You will learn about setting up Keras, Data loading and preprocessing with Keras, Building models, Training models with fit(), Debugging your model, and Speeding up training with multiple GPUs.
Prerequisite: You need to know the basics of Machine Learning and Python programming.
Duration: Self-Paced
Description: You will learn about Keras basics, Working with Text, Working with Images, Visual Applications, Reinforcement Learning, and Building projects with Keras.
Prerequisite: You need to know the basics of Machine Learning and Python programming.
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: 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.
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