Deep Learning Masterclass with TensorFlow 2 Over 20 Projects (Udemy.com)

In this course, Neuralearn presents the theory and practice of deep learning using TensorFlow. Starting with logistic regression and progressing to transformers, the instructor explains each algorithm by carefully studying and interpreting the original research papers, often analyzing them line by line. Participants also implement these algorithms from scratch, including models such as ResNet, YOLO, attention mechanisms, transformers, and GANs. The course further demonstrates how to use these algorithms with modern libraries such as Hugging Face and how to apply them to real-world industry problems. We highly recommend this course to anyone interested in learning and efficiently implementing deep learning algorithms. It is also an excellent resource for those who want to develop the skills needed to read research papers and reproduce state-of-the-art machine learning models from the original literature.

É um curso bom, bem explicativo!

This course was a deep dive into the world of neural network architectures. It explored various architectures like convolutional neural networks (CNNs), LSTMs, and transformers, along with their applications in computer vision, natural language processing (NLP), and more. The TensorFlow 2 implementation examples were well-structured and helped solidify my understanding.

This course is too bad. Just copy and paste code without explainig. Why will you be splitting train and test data manually instead of using the model_selection? Why will you complicate codes? Using For Loops unnecessary instaed of using some in-built functions. You made the course too complicated to understand. I just wasted money

I've learnt alot from this course in theory and with the coding. This course covers many different parts of deep learning and it really opened my mind on what can be done with deep learning. I took time and went through every section and now I'm glad i've learnt a lot . Thanks for this course!!!

The content provided is exemplary, and the practical implementations derived from each paper are commendable. However, there is room for improvement in the presentation of theoretical concepts. Currently, the explanation of these concepts appears somewhat disorganized, which could be streamlined for enhanced clarity. Incorporating prepared presentations to elucidate theoretical aspects would not only make the videos more concise but also facilitate a deeper understanding, particularly for beginners. With these adjustments, this course has the potential to rank among the best in its field.

One of the best Tensorflow courses I've ever taken. It covers the practical parts of deep learning with Tensorflow, while explaining the theory behind each concept. There are also 20 different projects treated detailly which is why i give this course a 5. Will definitely check out other courses by the Neuralearn team

Going from the most basic concepts to the more advanced, this course provides a clear and well-structured methodology to approach Deep learning problems. All are explained in a comprehensive way which makes it accessible to beginners. I really appreciated the different applications. That was a great course taught by a great instructor. Highly recommended!

I've already taken Neuralearn's course on GANs, so I had no doubt about the quality of this course before buying it. Nonetheless,I think I've been learning way more than I expected and should have taken this course first since it really takes one from beginner level and goes all the way up to building several practical projects

Amazing course! It really is practical. I've learned a lot from the projects. The Malaria detection project gives a good understanding of CNNs and goes through the complete workflow of a ML project. And I've learning how important it is to perform a good data preparation and to understand your task. There are also other important aspects on Model monitoring with Weights&Biases. There are also other CV projects such as Image segmentation, people counting and a couple of NLP projects like Grammatical Error correction, Lyrics generation and so on. The teacher makes complex concepts simple. I really enjoyed every minute of the course, it is worth it!