Rating: 4.4 out of 5
Deep Learning is a booming field in computer science with wide-ranging applications in areas like Computer Vision, Natural Language Processing, Image Generation, and Signal Processing. This comprehensive course guides you through mastering different concepts using a step-by-step, project-based approach. You’ll be working with popular tools like Tensorflow 2 and Huggingface, diving into everything from simple models like Linear regression and binary classifiers to advanced models such as object detection with YOLO, lyrics generation with GPT2, and image generation with GANs.
Throughout the course, you’ll be learning the basics of Tensorflow, Deep Learning algorithms like Convolutional Neural Networks and Vision Transformers, model evaluation, techniques for mitigating overfitting, and much more. You’ll also dabble in Natural Language Processing, Sentiment Analysis, and Machine Translation. By the end of the course, you’ll have developed the skill sets needed to create modern deep-learning solutions akin to those used by big tech companies. So, if you’re ready to take a major leap in your career, this course by Neuralearn has you covered. And remember, don’t hesitate to ask questions or provide feedback on the course forum to ensure the best learning experience! Enjoy!
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Skills you’ll learn
- Mastering Tensorflow basics and deep learning algorithms like Convolutional Neural Networks and Vision Transformers
- Evaluating Classification Models using metrics like Precision, Recall, Accuracy, and Fscore
- Mitigating overfitting with Data Augmentation techniques
- Implementing advanced Tensorflow concepts like Custom Losses, Metrics, and Training Loops
- Understanding Machine Learning Operations (MLOps) with tools like Weights and Biases
- Developing models for tasks like Malaria detection, Human Emotions Detection, and Object Detection with YOLO
- Deploying models using techniques like Distillation, Onnx format, Quantization, and cloud platforms such as Heroku
- Exploring Natural Language Processing and text generation using Recurrent Neural Networks, Attention Models, Transformers, and pretrained architectures like GPTand Deberta
Embark on an enthralling journey into the world of deep learning with the highly-regarded TensorFlow 2, as expert instructor Neuralearn Dot AI skillfully guides you through a comprehensive masterclass featuring over 20 captivating projects. With 316 meticulously crafted lessons tailored for 1437 eager students, this course triumphantly boasts an impressive 4.4 out of 5 rating, reflecting the superb quality of its content and the satisfaction of its participants. Get ready to unlock the arcane secrets of deep learning and propel your knowledge to unparalleled heights!