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Deep Learning uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation on large volumes of data in order to make decisions about high dimensional data.
* Hard copy material is not applicable for this course.
Why should one take this certification?
In this certification course, You will learn how to design and train your deep learning models and scale them out for larger datasets and complex neural network architectures on multiple GPUs using Google Cloud ML Engine.
You’ll also learn distributed techniques such as how parallelism and distribution work using low-level TensorFlow and high-level TensorFlow APIs and Keras.
Job seekers looking for employment in various IT companies, PSUs or MNCs. Certification in Deep learning with TensorFlow framework benefits Data Science professionals, students and professionals across various Industries.
IT companies, MNCs, Consultancies hire Data Science professionals for Data Science activities. Companies employing Data Science include Capgemini, JP Morgan Chase, TCS, Wipro, Zensar, Accenture, Infor etc.
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SCALING DEEP LEARNING USING KERAS AND TENSORFLOW
TRAINING, TUNING, AND SERVING OUR MODEL IN THE CLOUD
SETTING UP THE DEEP LEARNING PLAYGROUND
TRAINING DEEP FEED-FORWARD NEURAL NETWORKS WITH TENSORFLOW
APPLYING CNN ON TWO REAL DATASETS
EXERCISE RNN TO SOLVE TWO TIME SERIES PROBLEMS
USING AUTOENCODERS TO EFFICIENTLY REPRESENT DATA
GENERATIVE ADVERSARIAL NETWORKS FOR CREATING SYNTHETIC DATASET
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