StackRoute's Natural Language Processing with Tensorflow and Keras Course
Discover the fundamental blocks of deep learning with this practical course on TensorFlow and the Keras API. Gain an intuitive understanding of neural networks minus the jargon. Learn to build, train, and optimize your own networks using TensorFlow. The course also introduces transfer learning, leveraging pre-trained models for swift upskilling.
Who is this course for :
Programmers and Developers
Program Format
Online and Masterclasses
What are the Outcomes of Natural Language Processing with Tensorflow and Keras Course for Your Employees and Company?
StackRoute’s extensive NLP training with Tensorflow and Keras packs the punch for organizations looking to maximize their ROI.
A Way To Build Skilled Workforce Skills- Employees gain expertise in NLP techniques using TensorFlow and Keras, enabling them to handle complex language processing tasks effectively.
A Window To Innovative Solutions- The course empowers employees to innovate and create novel solutions for natural language understanding and generation, contributing to the company's technological advancement.
A Finely Optimized Framework Selection- Through understanding the differences between Keras and TensorFlow, employees can choose the most suitable framework for specific NLP tasks, optimizing development efforts and resource allocation.
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Unmatched Professional Development- Employees enhance their professional profiles with certifications and skills in NLP with TensorFlow and Keras, fostering career growth and employee retention within the company.
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It Works Using a Modular Approach- Keras facilitates the construction of intricate neural network architectures by assembling basic elements like neural layers and activation functions. So every code you write can be reused and shared to streamline debugging needs.
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Unbeatable Efficiency-- Keras facilitates training of extensive and complex models within a reasonable timeframe. It also supports training on either a single GPU or multiple GPUs.
Why StackRoute's NLP with Tensorflow and Keras Training Is Best For B2B Learning?
The crux of B2B Learning is high-quality training with globally recognized methodologies. StackRoute’s NLP with Tensorflow and Keras Training offers a deeper understanding of NLP, including sentiment analysis, Named Entity Recognition, transfer learning with BiLSTMs, CRFs, BERT, text generation using RNNs and GPT-2, and a lot more.
Customization: Tailored programs to meet specific business needs.
Expertise: Industry-leading instructors and hands-on learning experiences..
Practical Focus: Emphasis on real-world applications and project-based learning.
Continuous Support: Ongoing mentorship and post-training resources for skill retention.
Industry-Relevant Projects ‐ The training includes hands-on projects that are directly applicable to real-world B2B scenarios, enhancing practical learning and applicability.
Collaboration Opportunities: The program fosters collaboration among B2B professionals, enabling networking and knowledge sharing that can lead to valuable partnerships and insights.
Tools Covered
Data Science & Machine Learning Courses Mentors
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Get Trained On Industry-leading Tools With Natural Language Processing in Tensorflow and Keras Course
StackRoute’s Natural Language Processing in TensorFlow and Keras training upskills your company talent with in-demand tools and libraries to effectively complete NLP tasks.
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TensorFlow: A popular open-source machine learning framework developed by Google, widely used for building and training deep learning models, including those for NLP tasks.
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Keras: An API that can run on top of TensorFlow (as well as other deep learning frameworks), providing a user-friendly interface for building and training neural networks, including models for NLP.
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NLTK (Natural Language Toolkit): A leading platform for building Python programs to work with human language data, offering a suite of libraries and programs for tasks such as tokenization, stemming, tagging, parsing, and more.
spaCy:Another popular NLP library in Python, known for its efficiency in processing large volumes of text, providing tools for tokenization, named entity recognition (NER), part-of-speech (POS) tagging, and dependency parsing.
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Gensim: A library for topic modeling and document similarity analysis, often used for tasks like text summarization, keyword extraction, and word embeddings.
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BERT (Bidirectional Encoder Representations from Transformers): A state-of-the-art pre-trained language model developed by Google, capable of understanding the context and meaning of words in a sentence, widely used for various NLP tasks like text classification, question answering, and more.
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FastText: A library developed by Facebook for efficient text classification and word representation, particularly useful for handling out-of-vocabulary words and dealing with subword information.
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Scikit-learn:While primarily known as a machine learning library, Scikit-learn offers tools for text preprocessing, feature extraction, and classification, making it valuable in NLP pipelines.
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PyTorch: Although the course may primarily focus on TensorFlow and Keras, PyTorch is another deep learning framework commonly used in NLP research and applications, known for its flexibility and ease of use.
Our Natural Language Processing with Tensorflow and Keras Course Is A Must For
- Content Engineers
- Data Engineers
- Data Analysts
- Programmers and Developers
Client Testimonials
"At Sony, we invest heavily to ensure that fresh graduates who join our organization are equipped with the right skills and join their project engagements with the required technical confidence. Traditionally, we used to provide class room based training for "
Anu Thomas, Sony India.
"As CGI partners with clients across industries and geographies to support their digital transformation agenda, we are pleased to be working with StackRoute to continually deep skill our consultants as part of our commitment to help our clients in their ."
George Mattackal, President, CGI.
"StackRoute is a key partner for us in building a first-of-its-kind training program to meet the digital transformation needs of our customers. Through this program, we are creating a cadre of world-class full-stack programmers able to join multi-disciplinary teams in our Bangalore pod."
Reynolds Alex, Wipro Digital.
“Through StackRoute’s immersive learning programme, our graduates have been able to easily integrate into CGI’s product development initiatives. The coaches were very skilled, creating an environment to learn, challenge boundaries, and excel.”
Jennifer Mecherippady, VP - Asia Pacific Solutions Delivery Center, CGI.
As consumers change digital behaviors faster than companies can adapt, our clients look to Wipro to provide agility, speed and scale to their digital transformation efforts. For us, building the right mix of people with the right skills is critical. In particular, we look for Pi-Shaped people who can work on multiple platforms,
Rajan Kohli, Wipro Digital.
Trusted By The Best In The Business
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Frequently Asked Questions!
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Reach out to us!
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