deeplizard
This video introduces an upcoming course focused on using the Keras Python-based neural network API integrated with TensorFlow. Basic programming skills and some Python experience are the prerequisites for the course, with brief introductions to deep learning concepts provided. The course covers organizing and pre-processing data, building and training artificial neural networks from scratch and using pre-trained models. The speaker recommends taking the deep learning fundamentals course on deep lizard.com, emphasizing the importance of knowing multiple neural network APIs. Installation of Keras is straightforward, requiring only the pip install TensorFlow command. A GPU is not required to follow the course, but a full guide is available for setting up a GPU to work with TensorFlow. The course provides resources such as blogs and quizzes for each episode and access to code files for members of the deep lizard Depot or Hive Mind.
In this section of the transcript, the speaker introduces the course focused on using Keras, a Python-based neural network API integrated with TensorFlow. The course begins with the basics of organizing and pre-processing data and moves on to building and training artificial neural networks, both from scratch and using pre-trained models. The prerequisites for the course include basic programming skills and some Python experience, with brief introductions to deep learning concepts provided. The speaker recommends learners take the deep learning fundamentals course on deep lizard.com for complete beginners. The speaker emphasizes the importance of knowing multiple neural network APIs and notes that Keras was developed to enable fast user experimentation. Keras is now fully integrated with TensorFlow, and the installation procedure is as simple as pip installing TensorFlow. The course offers resources such as corresponding blogs and quizzes for each episode and access to code files for members of the deep lizard Depot or Hive Mind.
In this section, the video covers the requirements needed for installing TensorFlow and notes that a GPU is not required to follow the course, but if desired, setting up a GPU to work with TensorFlow is easy and a full guide is available on their website. The course will work perfectly fine using only a CPU, but after completing it, the steps to set up a GPU can be followed to run the code on a more efficient and faster GPU. The host also mentions that they are in Vietnam filming and have a vlog channel on YouTube, as well as a corresponding blog and exclusive access to perks and rewards on their website.
No videos found.
No related videos found.
No music found.