Deep Learning Training in Coimbatore
Qtree Technologies ,Deep Learning with TensorFlow Course in Coimbatore effectively turns you into a specialist by giving bits of knowledge into Deep Learning and TensorFlow ideas. TensorFlow is an open-source programming library that is identified with AI utilizes and the profound neural system.
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About Deep Learning Training in Coimbatore
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Deep Learning Foundation with Tensorflow is the course trending all the top MNC's are looking. Deep Learning is utilized broadly in the fields of image recognition, Natural Language Processing (NLP), self-driving cars, and video grouping.
Deep Learning has been started by top companies like Tesla, Audi, Benz, Ford and Google they are involved aggressively in building self-driving cars with the Deep Learning techniques. At present there are very few companies started with Deep Learning Implementation but need for them are much more in future.
What is Deep Learning Training?
- Deep Learning Engineer is a blend of Python Programming, Computer Vision, Robotics, Object Detection e.t.c. Learn Deep Learning Course with various case studies and driven on various tools to make you best and bold on all topics of Deep Learning..This tensorflow preparing sets you up to turn into a profound learning researcher via preparing you in profound learning systems like structure fake neural systems and crossing through layers of information deliberation to comprehend the intensity of information and execute calculations.
What is a Cloud Administrator?
- A cloud administrator manages cloud-based IT resources. A cloud administrator can either work directly for a company’s cloud services organization or can also be a third-party organization contracted to administer the cloud-based IT resource service.
What are the prerequisites for learning Deep Learning with Tensorflow?
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Participants in this Deep Learning online course should have:
- Familiarity with programming fundamentals
- Fair understanding of basics of statistics and mathematics
What Will I Learn?
- Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
- Differentiate between machine learning, deep learning, and artificial intelligence
- Troubleshoot and improve deep learning models
- Build deep learning models in TensorFlow and interpret the results
- Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
- Build your own deep learning project
- Understand the language and fundamental concepts of artificial neural networks
- Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
Our Course Details
Lesson 01 - Course Introduction
- Introductions to Deep Learning
Lesson 02 - AI and Deep learning introduction
- What is AI and Deep Learning
- Brief History of AI
- Recap: SL, UL and RL
- Deep Learning: Successes Last Decade
- Demo and Discussion: Self-Driving Car Object Detection
- Applications of Deep Learning
- Challenges of Deep Learning
- Demo and Discussion: Sentiment Analysis Using LSTM
- Full Cycle of a Deep Learning Project
- Key Takeaways
- Knowledge Check
Lesson 03 - Artificial Neural Network
- Biological Neuron Vs Perceptron
- Shallow Neural Network
- Training a Perceptron
- Demo Code #1: Perceptron (Linear Classification)
- Backpropagation
- Role of Activation Functions and Backpropagation Demo
- Code #2: Activation Function Demo Code #3: Backprop Illustration
- Optimization
- Regularization
- Dropout layer
- Demo Code #4: Dropout Illustration, Lesson-end Exercise (Classification Kaggle Dataset)
- Key Takeaways
- Knowledge Check
- Lesson-end Project
Lesson 04 - Deep Neural Network & Tools
- Deep Neural Network: Why and Applications
- Designing a Deep Neural Network
- How to Choose Your Loss Function?
- Tools for Deep Learning Models
- Keras and its Elements
- Demo Code #5: Build a Deep Learning Model Using Keras Tensorflow and Its Ecosystem
- Demo Code #6: Build a Deep Learning Model Using Tensorflow TFlearn
- Pytorch and its Elements
- Demo Code #7: Build a Deep Learning Model Using Pytorch
- Demo Code #8: Lesson-end Exercise
- Key Takeaways
- Knowledge Check
- Lesson-end Project
Lesson 05 - Deep Neural Net optimization, tuning, interpretability
- Optimization Algorithms
- SGD, Momentum, NAG, Adagrad, Adadelta , RMSprop, Adam Demo code #9: MNIST Dataset Batch Normalization
- Demo Code #10
- Exploding and Vanishing Gradients
- Hyperparameter Tuning
- Demo Code #11
- Interpretability
- Demo Code#12: MNIST– Lesson-end Project with Interpretability Lessons
- Width vs Depth
- Key Takeaways
- Knowledge Check
- Lesson-end Project
Lesson 06 - Convolutional Neural Net
- Success and History
- CNN Network Design and Architecture
- Demo Code #13: Keras
- Demo Code #14: Two Image Type Classification (Kaggle), Using Keras
- Deep Convolutional Models
- Key Takeaways
- Knowledge Check
- Lesson-end Project
Lesson 07 - Recurrent Neural Networks
- Sequence Data
- Sense of Time
- RNN Introduction
- Demo Code #15: Share Price Prediction with RNN
- LSTM (Retail Sales Dataset Kaggle)
- Demo Code #16: Word Embedding and LSTM
- Demo Code #17: Sentiment Analysis (Movie Review)
- GRUs
- LSTM vs GRUs li>Demo Code #18: Movie Review (Kaggle), Lesson-end Project)
- Key Takeaways
- Knowledge Check
- Lesson-end Project
Lesson 08 - Autoencoders
- Introduction to Autoencoders
- Applications of Autoencoders
- Autoencoder for Anomaly Detection
- Demo Code #19: Autoencoder Model for MNIST Data
- Key Takeaways
- Knowledge Check
- Lesson-end Project
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.
- Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers:
- In-depth knowledge of Deep Neural Networks
- Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders
- Implementation of Collaborative Filtering with RBM
- The exposure to real-life industry-based projects which will be executed using TensorFlow library
- Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry standards and best practices
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KarthickI enrolled for Android and UX design course at Qtree, I was amazed that how can they provide such good trainers for the cost they charge, its much affordable than other training centres. I initially took up the demo session, was very happy with the session. I would RECOMMEND anybody whoever is looking for UX design or android Course. Thank you team! :)
RamI have joined for Android development here..The teaching is very good..You can go to institute after our course completed, if you have any doubts, Trainer have clarified doubts very clearly, he can get connected through mail also. After every class you receive the total material through mail, what has discussed in class, So that you cannot miss any class. You can connect through online classes also.. I got job by their Reference.. Thanks you.
Lakshmana RTheir Android development trainer is one of the best trainers I’ve seen, endless patience even when I was unable to understand some concepts and he always explained everything again. The team is also very accommodating and gave me extra classes even if i missed any.
ArunWas looking for android app course and got in touch with Qtree, they were very helpful and explained how it will help me, they even helped me out with programming basics when I started the course even when they did not have it in the syllabus, the trainer was great and always explained everything properly.
ArulI am very happy with the Android Training provided here. The training was for 1.5 months and after the training, They sent me to lot of Interviews, was finally able to get placed because of them. The Trainer has got very good knowledge in Android.
Benefits of Deep Learning Training in Coimbatore
Deep Learning in TensorFlow with Python Training will help you to become a Deep Learning Engineer. It will hone your skills by offering you comprehensive knowledge on Deep Learning in TensorFlow. It will also acquaint you with the required hands-on experience for solving real-time industry-based Deep Learning projects. During this course you will be trained by our expert instructors on:
- Deep Learning and TensorFlow Concepts
- Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)
- Proficiency in Long short-term memory (LSTM)
- Implementing Keras, TFlearn, Autoencoders
- Implementing Restricted Boltz-mann Machine (RBM)
- Knowledge of Neural Networks & Natural Language Processing (NLP)
- Using Python with TensorFlow Libraries
- Perform Text Analytics
- Perform Text Processing
Placement of Deep Learning Course
- 100% Guaranteed Job Support in MNC and Mid-Small Size Companies
- Constant Classes on Each Topic
- our arrangement Team will send you for meetings till you land Position
- At Qtree Technologies, microsoft sky blue course is extremely affordable
- Mock Exams and Interviews to Boost your certainty.
- Pre-Requisite: Graduates/Fresher/Software Developer/Working Professionals/Anyone who has Interest
- Most recent and Update Course Contents according to IT Company models
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