#194 on Reddit
TensorFlow in Practice Specialization
Coursera
8 recommenders · 9 threads · recommended in 3 years, 2019–2023 · score 8.8
A four-course Coursera specialization from deeplearning.ai that teaches practical TensorFlow and Keras for building neural networks, covering image, text, and time-series models. It follows Andrew Ng's introductory and deep learning courses and is aimed at learners who want hands-on coding.
Commenters call it a good way to move from theory to hands-on TensorFlow coding, with the first courses being a gentle introduction and the later ones covering the exam material for the TensorFlow Developer Certificate.
Machine Learning & AIbeginnerfreemiumvideo lectures#tensorflow#keras#neural networks#deeplearning.ai#ng
Recommendations by year
20192023
https://blog.keras.io/building-autoencoders-in-keras.html you can use keras or tensorflow.keras for this. Make sure you understand the neural network architecture for this. If you have zero deep learning knowledge then look into the tensorflow specialization by deeplearning.ai on coursera. There…
Hey if you're not satisfied with this platform then I think you should do courses from deeplearning.ai. you can find them on coursera. They have courses like tensorflow specialization where they focus more on coding. This is mainly for DL and NLP though. They have other coding related courses you…
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems This is the best hands on book and will help you in understanding Machine Learning as well as Deep Learning. With this I would suggest the Coursera - TensorFlow in…
I would suggest you take the first course in the TensorFlow in Practice specialization (also by deeplearning.ai) so that you can slowly be introduced to TensorFlow After that try implementing MNIST in TensorFlow and check out the tensorflow.org website which have a wealth of knowledge on how to…
Glad I could help! Also, a piece of advice: you also might wanna check out the Tensorflow in Practice specialization (it's by deeplearning.ai too) side by side if you want to get some hands on practice using TF and Keras while learning the material from Andrew Ng in his original course!
I would recommend the Tensorflow in Practice Specialisation on Coursera as well. From what I've read the course covers everything you'll need in the exam.
I'm in the same boat. I totally agree. I've done Andrew Ng's **Intro ML** course which was in Octave. I thought I understood it well, but at the end of the course, I couldn't do more than just tell if something's overfitting or underfit and tweaking hyperparameters. It's very cool to understand…
You can do Tensorflow specialisation on coursera. If you don’t wanna do a paid course then I believe you can also audit the course.
I would recommend taking other specializations put together by Andrew Ng's deeplearning.ai. There is the Deep Learning Specialization where it goes into more detail on different deep learning algorithms and techniques. After that, there is the Tensorflow Specialization where it teaches you how to…
The deeplearning.ai Coursera Andrew Ng class are excellent but they are pretty heavy on basic building blocks. You won't really be learning Tensorflow or PyTorch with those course. Still, I am really glad I did that course before venturing on top the Tensorflow specialization ones. If you are…
Sorry for the late reply. Since my college provided coursera for free I decided to do Deeplearning.ai(4/5 done) and then Tensorflow in practice specialization. Since fast.ai is pytorch based I've to do it later with the freecodecamp's py torch course while working on projects.
I took to entire deep learning specialization (by deeplearning.ai) on Coursera and it's a good start, but as you said, it's very theory focused and still, it just scratches de surface of what you need to learn. About taking the TensorFLow in Practice specialization, I took the first two courses…