Best Keras Online Courses, Training with Certification-2022 Updated

Keras is a neural networks library. Keras is used for designing the models of deep learning. Students and data analysts who are struggling for the best keras online courses then this is most favorable place to do the course. Keras will run on theano, tensorflow etc. From this keras course students will learn the topics like fundamentals of machine learning algorithms, how to implement the algorithms of deep learning in the keras, support vector machine, how to utilize the keras for solving the deep learning problems, differences between the deep learning frameworks and keras,  building the deep neural networks, how to use the deep learning frameworks, how to code the convolutional neural networks, basics of machine learning with the minimal math and so on. Now a days there are number of keras online courses in the world from them our experts have selected a few best keras online courses for you that which are listed below.

#1 The Fun and Easy Guide to Machine Learning using Keras – Udemy

Students who wants to learn about machine learning Keras then you can join in this machine learning with the keras online course. Here 1k+ candidates are enrolled to learn this machine learning course which is created by Minerva Singh and Augmented Startups academy. You people will understand all the fundamentals of machine learning algorithms and also learn how to implement the algorithms in the python by using the numpy and sklearn. Here students will understand that how to implement the algorithms of deep learning in the keras. Instructors will explain the procedure for solving the problems by building the arsenal of the machine learning models.
Key points:

• Students will understand that how to install the python anaconda and know how to install in mac users, regression, linear regression, theory of decision tree, random forests theory, classification of logistic regression, K nearest neighbour algorithm classification etc.
• You will learn the topics like theory of support vector machine, linear and non linear SVM, theory of naive bayes, clustering, k means clustering, hierarchical clustering, dimensionality reduction, associated rule learning, a priori, eclat, etc.
• Students are able to learn the concepts like principal component analysis,  theory of convolutional neural networks, recurrent neural networks theory, artificial neural networks, analysis of linear discriminant and more.
• You people will improve your knowledge on machine learning with the practice labs which are provided by the instructors and they also explain the complex equations and mathematics.     
• Students will understand that how to automate the tasks of data analysis and know the process for implementing the neural networks by utilizing the h2o package.  

Rating: 4 Out of 5
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#2 Deep Learning™ With Keras Simplified For Absolute Beginners – Udemy

The Deep Learning with the Keras online course is offered by Mushahid Shamim and The Startup Central Inc.. here 80+ candidates are learning this Deep Learning with the Keras online course. Here instructors are providing two articles and two hours on demanded videos with full support. You people will understand that how to utilize the keras for solving the complex deep learning problems. Students are able to use the neural networks for making the predictions and you are able to build more complexed deep learning models. Students are able to use the back end implementations like tensorflow, theano and CNTK. you people will improve your skills and knowledge on deep learning.
Key points:

• Students will understand the topics like differences between the deep learning frameworks and keras, how to install and setup the environment etc.
• From the building the keras model section students will learn the concepts like model architecture, how to compile the model, fitting the model, predicting and evaluating the models.
• You people will understand the concepts like building the deep neural networks, how to find solutions for the problems by using the keras, problem description etc.
• From the building convolution neural network section students will understand the concepts like building the VGG16 network architecture, solving the problems with the keras, problem description etc.
• Instructor will explain about the building recurrent neural networks, how to compile the models, different techniques to use the neural networks for making the predictions, how to use the deep learning frameworks and so on.

Rating: 4.4 Out of 5  
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#3 Practical Deep Learning with Keras and Python – Udemy

Students who wants to learn about the deep learning then this deep learning with the keras online course will help you to learn all about the deep learning. Students are able to run the models of deep learning with the keras on the transflow backend. You will learn how to utilize the keras functional APIs for creating the models with the outputs and inputs. Here more than 1k candidates are learning this deep learning online course which is created by Mohammad Nauman (designer and programmer). You will learn that how to handle the notorious shape mismatch issues and know how to code the convolutional neural networks. Students will learn that how to utilize the google gpus for improving the speed of the experiments.
Key points:

• You will learn the topics like machine learning pipeline, regression, multi class and binary classification, how to setup the environment in the windows, mac and linux os, data preparation, testing etc.
• Students will understand the concepts like problem description, data view, pre processing the data, how to load the data, know how to get the right shapes, test split, functional API, sequential models etc.
• Instructor will explain the topics like convolutional neural networks, CNN in the keras, drop out, pooling, graph based models, residual connections, functional API for the CNN, inception model etc.
• You people will understand how to load and save model weights, parting the words and students will also learn the basics of machine learning with the minimal math. You people are able to understand the procedure for applying the machine learning principles.

Rating: 4.4 Out of 5    
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Best Keras Books:

#1 The Keras Genome (Keras Demigods) (Volume 1) by Kurtis M Eckstein
#2 Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents by Giuseppe Ciaburro
#3 Python Machine Learning: A Deep Dive Into Python Machine Learning and Deep Learning, Using Tensor Flow And Keras: From Beginner To Advance by Leonard Eddison
#4 Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python by Antonio Gulli & Sujit Pal
#5 Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more by Rowel Atienza
#6 Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications by Luis Capelo