Hello everyone, in this episode I interviewed Matthieu Cord, my professor at Sorbonne University. Matthieu is a researcher at Sorbonne in the field of Deep Learning and Computer Vision and also a researcher at Valeo's AI lab, a french autonomous driving company. In the episode we talk mainly about Matthieu's current research topics, autonomous driving and the hottest topics in both research and industry.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Matthieu's website: http://webia.lip6.fr/~cord/

Hey guys, in this episode I receive as a my friend Franco and we talk about energy efficiency, image enhancement and active learning. Franco told about his findings working on a project an energy efficiency project for the Uruguay government, image enhancement with reinforcement learning at Huawei and now his PhD on the active learning field.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Franco's Linkedin: https://www.linkedin.com/in/franco-marchesoni/

Hey guys, in this episode I talk about the main points of the episode that I recorded in Portuguese with Fernando Santos, a post doc researcher and professor at USP. In this episode, I talk about tips to train neural networks and some techniques that are really improving the convergence of the training, like data augmentation and self-supervised learning.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Fernando's Linkedin: https://www.linkedin.com/in/fernando-persan/

Tutorial's code: https://github.com/maponti/trainingdeepnetworks

Hey guys, in this episode I talk about how to input tabular data into artificial intelligence algorithms. You can understand tabular data as the famous excels tables, where you have categorical and numerical variables. in this episode I explain how the algorithms see tabular data and have how to transform this into the right format. 

Instagram: https://www.instagram.com/podcast.lifewithai/ 

Linkedin: https://www.linkedin.com/company/life-with-ai 

Code: https://github.com/filipelauar/projects/blob/main/categorical_encoding_numerical_scaling_normalization.ipynb

Hey guys, in this episódio I have as guest my friend Breno Skuk to talk about binary neural networks. Binary Neural Networks can decrease the inference time of the model by 40x and the memory size by until 64x! In this episode we talk about many pros and cons of the use of these networks and how its evolution and implementation can impact our lives.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Code: https://github.com/filipelauar/projects/blob/main/binary_neural_networks.ipynb

Breno's Linkedin: https://www.linkedin.com/in/breno-baldas-skuk-117213140/

Hey guys, in this episode I explain the ideia behind 3 very important algorithms widely used in Natural Language Processing (NLP) and time series. I explain classic RNN, GRU and LSTM algorithms, explaining the ideia behind each one of them and also the goal of the famous and very important LSTM and GRU gates.

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Code: https://github.com/filipelauar/projects/tree/main/RNN_applications

Hey guys, in this episode I talk about applications related to RNNs in the real world. I talk about applications of Natural Language Processing (NLP), like text classification, chatbots, text generation, speech recognition... and also applications related to time series, like weather forecasting, predictive maintenance and much more!

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Code: https://github.com/filipelauar/projects/tree/main/RNN_applications

Hey guys, in this episode I talk about applications of GANs, Generative Adversarial Networks, in the real world. I talk about many applications in photo and video editing, super resolution, video games, autonomous driving and much more!

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Code: https://github.com/filipelauar/projects/tree/main/GAN_applications

In this episode I talk about different applications of artificial intelligence in the real world using CNN networks. I talk about 3 main problems, classification, detection and segmentation, explain what's being done in each of these problematic and also the state of the art to solve them.

Website to find state of the art models: https://paperswithcode.com/sota/

Instagram: https://www.instagram.com/podcast.lifewithai/

Linkedin: https://www.linkedin.com/company/life-with-ai

Code: https://github.com/filipelauar/projects/tree/main/CNN_applications