Stepleaf's Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies.
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In this Deep Learning in TensorFlow with Python Training we will learn about what is AI, explore neural networks, understand deep learning frameworks, implement various machine learning algorithms using Deep Networks. We will also explore how different layers in neural networks does data abstraction and feature extraction using Deep Learning.
Stepleaf’s Deep Learning in TensorFlow training is designed to make you a Data Scientist by providing you rich hands-on training on Deep Learning in TensorFlow with Python. This course is a stepping stone in your Data Science journey using which you will get the opportunity to work on various Deep Learning projects.
Who should go for this training?
Deep Learning is one of the most accelerating and promising fields, among all the technologies available in the IT market today. To become an expert in this technology, you need a structured training with the latest skills as per current industry requirements and best practices.
Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of solution strategy.
Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects.
Python, machinelearning, deeplearning, Artificial Intelligence, TensorFlow, Convolutional Neural Network, CNN, Recurrent Neural Network, RNN, Long short-term memory, LSTM, Keras, TFlearn, Autoencoders, Restricted Boltz-mann Machine, RBM, Neural Networks, Natural Language Processing, NLP, Text Analytics, Text Processing
In this module, you’ll get an introduction to Deep Learning and understand how Deep Learning solves problems which Machine Learning cannot. Understand fundamentals of Machine Learning and relevant topics of Linear Algebra and Statistics.
Structure your learning and get a certificate to prove it.
How will I execute the practicals?
You will do your Assignments/Case Studies using Jupyter Notebook that is already installed on your Cloud Lab environment whose access details will be available on your LMS. You will be accessing your Cloud Lab environment from a browser. For any doubt, the 24*7 support team will promptly assist you.
What is CloudLab?
CloudLab is a cloud-based Jupyter Notebook which is pre-installed with TensorFlow and Python packages on cloud-lab environment. It is offered by StepLeaf as a part of Deep Learning with TensorFlow course where you can execute all the in-class demos and work on real-life projects in a fluent manner.
You’ll be able to access the CloudLab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our support ninja team is ready to assist 24x7.
What are the projects included in this Deep Learning in TensorFlow with Python Certification Training?
StepLeaf's TensorFlow Certification Training includes the following case studies:
All the instructors at StepLeaf are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by StepLeaf for providing an awesome learning experience to the participants.