Build an online project portfolio with your project code and video explaining your project. This is shared with recruiters.
Lab will test your practical knowledge. Assignments include Regression exercises, classification exercises, Time Series exercises, and Linear Autoencoder for PCA exercises and evaluating the best models. The deep learning projects will give you a complete understanding of implementing neural networks with TensorFlow.
Once you enrol for TensorFlow deep learning course, you are welcome to participate in any future batches free. If you have any doubts, our support team will assist you in clearing your technical doubts.
If you opt for the mentorship track, you will get 6 thirty minute one-on-one sessions with an experienced data scientist who will act as your mentor for the deep learning training.
For any doubt clearance, you can use:
In the last module, DeZyre faculty will assist you with:
On completing this deep learning python training with TensorFlow, you will be able to -
This TensorFlow course emphasizes on the practical and applied aspects of deep learning concepts. For every algorithmic implementation, the instructor would provide examples to explain how these techniques are being used in the real world.
i) To learn TensorFlow from scratch, you will require some basic programming knowledge of Python and packages like Pandas and NumPy.
ii) Having basic math knowledge on mean, standard deviation, etc. is helpful.
iii) Familiarity with calculus and linear algebra is recommended but not mandatory.
Taking DeZyre’s Data Science Course will prepare you for the deep learning course with TensorFlow by providing you the required pre-requisites.
DeZyre’s deep learning online course curriculum is comprehensive and in-depth that covers everything from basics of deep learning to implementation of advanced deep learning concepts like RNN, CNN and GAN. It is one of the best deep learning courses online developed in collaboration with certified data science professionals who have years of experience working with AI and Machine Learning technologies since their inception. The course curriculum is updated on a regular basis with latest and relevant topics.